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At Gilead, we’re creating a healthier world for all people. Please make an application promptly if you are a good match for this role due to high levels of interest. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.Job DescriptionWe are seeking an experienced immunologist to lead a talented team of scientists supporting the development of novel biologic therapies in autoimmune disease. The successful candidate will conduct and oversee in vitro and in vivo pharmacology studies supporting both lead and early discovery programs in immunology, and will require rigour in delivering data packages for progression to development. They will collaborate across functions to pursue creative science, in the service of discovering novel medicines that impact patients’ lives.Additional Key ResponsibilitiesLeadershipMentor a lab-based scientific team, advancing their projects and careers.Serve as a scientific and technical thought leader throughout the Research organization.Collaborate across functions to guide interdisciplinary projects, with experts in immunology, protein engineering, chemistry, translational medicine, biomarkers and clinical development. Identify project risks and mitigate effectively, while communicating with project teams and other leaders.Innovation and Scientific AcumenProactively ideate to accelerate early-stage discovery activities, enhance understanding of disease mechanisms, and develop new technologies and novel targeting modalities.Design and implement rigorous in vitro assays, based on thorough literature review, to support the development of therapeutic antibodies in autoimmune diseaseWork with internal teams and contract research organisations to plan and co-ordinate in vivo models for DMPK and efficacyDevelop endpoint analysis, including ex vivo profiling, to better understand drug mechanism of actionDevelop expertise in relevant scientific fields and the external landscape, including the scientific literature, conference proceedings, and competitive programs. As an in-house expert, propose creative and rigorous research to discover, validate and understand targets.Think critically and creatively, emphasizing nimble decision making that balances risk-taking with thoughtful experimentation within the strategic/competitive context to fuel a differentiated pre-clinical pipeline.Contribute expertise to multi-disciplinary due diligence teams to evaluate and recommend partnerships and acquisitions.Contribute to research reports, INDs, and patent filings.Establish an external presence through peer-reviewed publications, conference presentations, and external collaborations.Knowledge, Experience and SkillsPhD and 5+ years of experience (immunology, drug discovery, target identification and technology development), with industry experience highly preferred.Strong track record of impact in scientific field, including first- or senior-author publications in peer-reviewed journals and conference presentations.Strong knowledge base in basic immunology and pathogenesis of autoimmune diseaseBroad technical skillset of cutting-edge methods and models of immunology, in vitro and in vivoDemonstrated success in leading research teams to productive, creative, data-driven decisions.Team-centric mindset, with proven managerial excellence and ability to motivate skilled team members from diverse backgrounds.Excellent communication and interpersonal skills.Equal Employment Opportunity (EEO)It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual’s gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws. xrnqpay For Current Gilead Employees and Contractors:Please apply via the Internal Career Opportunities portal in Workday.SummaryLocation: United Kingdom • OxfordType: Full time

About Archangel Lightworks Archangel Lightworks is a laser communications company building wireless technology. Founded in 2017, we believe that laser communications to and from satellites is a key component of next-generation infrastructure. Our core product, the TERRA-M, is a deployable optical ground station with proven capability for space – ground data transfer. Our team develops and operates products that advance the security and resilience of critical national infrastructure. We value compassion, resilience, curiosity, ownership and integrity. Our start-up is a fast-paced and supportive environment, where you can contribute to novel technology with meaningful applications like reducing the Digital Divide. Archangel Lightworks recently closed over £10 million of investment in an oversubscribed Series A funding round. Our company is also supported by the UK Space Agency, the UK's Department of Science and Technology (DSIT) and the UK Ministry of Defence. About the job We're looking for an Optical Engineer with both design and Assembly Integration and Test experience to join our engineering team and deliver transformative laser communications technology. You will be responsible for the development of our optical subsystems, from requirements definition to testing in the field. In this role, you will work closely with our Product Technical Lead and optical engineering team. Your responsibilities will include: • Design of laser communication terminal optical/photonic sub-systems for extreme environments, • Requirement definition and trade off analysis for complex optical/photonics systems, finding the optimal balance of performance against cost, • Modelling of optical system performance, optimisation and tolerancing, • Conducting practical breadboard testing to validate modelled data, • Assembling, integrating and testing subsystems, • Supporting system level testing and trials, • Being a subject matter expert for optical and photonic systems, • Managing suppliers of optical and photonic components, • Providing technical leadership of subsystem development projects Requirements: • Experience defining requirements on optical systems, modelling and performing trades studies to inform design selection, • Optical design/analysis experience using Zemax or similar software for design, optimization and tolerancing. (Sequential, non-sequential desirable), • Hands-on experience with photonic components and systems, including lasers (CW and pulsed), optical detectors/receivers, modulators, and fibre/ free-space optics, with, • a solid understanding of underlying physical principles and performance trade-offs, • Hands-on lab experience designing and carrying out tests for relevant optical systems Desirable additional skills: • Experience with electronics for optoelectronic systems, including analogue front-ends, high-speed data converters, embedded/FPGAs, and power/EMI/thermal considerations, • Experience with optical or RF communication systems, including modulation schemes, error correction, FPGA/SDR modem implementation, and relevant protocols (e.g. CCSDS, SpaceWire, Ethernet), • Experience with high power lasers, optical amplifiers, and relevant safety requirements, • Experience with optical instrument calibration and alignment, and procedure definition, • Knowledge of adaptive optics, • Knowledge of space/satellite systems Location: Our office is based in Osney Mead, Oxford. There may be opportunity to work from home as agreed with your line manager. There may be opportunity for periodic business travel. What we offer: • Opportunity to work on advanced optical systems to support a world-changing vision, • A collaborative and transparent culture with strong links between functions, • Regular socials and weekly company lunch, • Professional development and skills growth within a specialist engineering field, • Competitive salary and benefits package, with equity options in a growing start-up, • 25 days annual leave allowance plus bank holidays Archangel Lightworks is an equal opportunity employer. As part of our commitment to equality, we work to ensure a fair and consistent interview process. If you need any assistance or accommodation to complete your application or assessment, please contact us through the application form. We recognise that many candidates use AI tools when applying. Please ensure your application reflects your own experience, skills, and thinking. We assess applications based on authenticity and accuracy, so anything generated with AI should be reviewed, personalised, and representative of you. JBRP1_UKTJ

The Role:Joining Moderna means advancing mRNA science to transform medicine. Is this your next job Read the full description below to find out, and do not hesitate to make an application. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients.Join Moderna’s Clinical Bioanalytical team at our Harwell, Oxfordshire site and help connect basic science research, bioanalysis, genomics and informatics to advance programs into the clinic and translate clinical findings into new opportunities across Moderna’s pipeline.As a sole-contributor scientist, you will bring deep expertise in genetic, biochemical and molecular biology assays to develop and execute phase-appropriate approaches supporting pharmacokinetic/pharmacodynamic (PK/PD) analysis. You will work across technologies including genomic DNA and RNA isolation, qPCR, ddPCR, RNA sequencing, MSD, ELISA and immunoblotting, while establishing robust mRNA-based bioanalytical capabilities internally and with external partners.This is an opportunity to operate at the intersection of translational science, clinical bioanalysis and emerging technology. Alongside hands-on scientific and regulatory responsibilities, you will have opportunities to get close to Generative AI and digital tools that can support scientific workflows, knowledge synthesis and data-driven ways of working across Moderna.Here's What You'll Do:Design and effectively execute phase-appropriate biochemical and molecular biology assays to enable PK/PD analysis, including genomic DNA and RNA isolation, qPCR, ddPCR, RNA sequencing, MSD, ELISA, immunoblotting and other relevant technologies.Develop assays in a timely manner aligned with program timelines, ensuring assay qualification or validation is fit for purpose within GcLP compliance for clinical use.Troubleshoot scientific and technical issues arising internally and through external CRO partners, applying rigorous molecular and bioanalytical expertise to maintain assay performance and data quality.Evaluate and review raw data, study analytical reports and assay validation reports, as appropriate, ensuring laboratories perform analyses in compliance with current regulatory, industry and Moderna standards and that resulting data meet required regulatory and scientific quality expectations.Establish internal and external mRNA-based bioanalytical capability and facilitate method development to support Moderna’s portfolio.Support analytical equipment procurement and qualification, preparation and maintenance of SOPs, and the determination and control of critical reagents.Stay current with scientific literature, government guidelines and internal guidance relating to clinical trial conduct, including Good Laboratory Practice (GLP), Good Clinical Practice (GCP), internal SOPs, applicable regulations and White Papers for clinical bioanalysis, ensuring practices remain consistent with regulatory expectations.Collaborate with Clinical Operations and Sample Management to define the sample journey and develop appropriate laboratory manuals.Apply expert knowledge of RT-PCR, ddPCR, RNA sequencing and other methodologies used for preclinical and clinical assays.Bring working knowledge of the translational literature and competitive landscape in the ASO field, connecting external scientific developments with Moderna’s bioanalytical work.Communicate complex scientific concepts, program objectives and data analyses effectively within a matrix environment.Apply knowledge of GcLP requirements alongside an understanding of current industry trends and regulatory expectations associated with analytical science.Leverage experience with RNA, biologics and cell therapy where applicable to strengthen assay strategies and bioanalytical approaches.Utilize Lab Information Management Systems (LIMS), electronic laboratory notebooks (eLNB) and laboratory automation where relevant; experience in these areas would be an advantage.Explore opportunities to work alongside digital and Generative AI-enabled tools as Moderna continues to evolve how scientific information, workflows and insights can be used to accelerate impact.The key Moderna Mindsets you’ll need to succeed in the role:“We obsess over learning. We don’t have to be the smartest we have to learn the fastest.”“We act with dynamic range, driving strategy and execution at the same time at every step.”Here’s What You’ll Bring to the Table:A Ph.D. in genetic assays from the following areas: infectious disease, Immuno-oncology, Immunology, Cancer Biology, or related fields and a minimum of 5 years of industry biotech/pharmaceutical experience. B.S./M.S. with a minimum of 7 years of bioanalytical and GcLP/GLP experience are consideredExperience with RNA, biologics and cell therapy preferredExpert knowledge of RT-PCR, ddPCR, RNA sequencing and other methodologies for preclinical and clinical assays.Working knowledge of the translational literature and competitive landscape in the ASO field.Ability to effectively communicate scientific concepts, program objectives, data analysis within a matrix environment.Knowledge of GcLP requirements and understanding of current industry trends and regulatory expectations associated with analytical science.Experience on Lab Information Management Systems (LIMS) and electronic lab note books (eLNB) would be a plusExperience on automation would be a plus.Our Working ModelAs we build our company, we have always believed that an in-person culture is critical to our success. This role is 100% onsite, reflecting the importance of being physically present to support the work, collaborate closely with colleagues, and contribute to our site-based operations.Working onsite enables real-time collaboration, strong team connections, direct mentorship, and the hands-on partnership needed to deliver our mission. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.Moderna is a smoke-free, alcohol-free, and drug-free work environment.Pay & BenefitsAt Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between.Competitive healthcare, plus voluntary benefit programs to support your unique needsA holistic approach to well-being with access to fitness, mindfulness, and mental health supportFamily building benefits, including fertility, adoption, and surrogacy supportGenerous paid time off, including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdownSavings and investments to help you plan for the futureLocation-specific perks and extrasThe benefits offered may vary depending on the nature of your employment with Moderna and the country where you work.About ModernaSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit /careers to learn more about our current opportunities. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is committed to equal opportunity in employment and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. xrnqpay Moderna is committed to offering reasonable accommodation or adjustments to qualified job applicants with disabilities. Any applicant requiring an accommodation or adjustment in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations and Adjustments team at -SummaryLocation: Oxford • England; Clinical DevelopmentType: Full time

Oxford (On-site)Marketing & Product – Product Management /Full-Time /HybridAt ONI, we are driven by a profound mission: to propel scientific discovery and combat diseases by granting everyone the ability to visualize, comprehend, and share the intricate microscopic details of life. Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience. Our revolutionary Nanoimager and Aplo Platform stand at the forefront of advancing cellular studies on a molecular level, making substantial contributions to the evolution of scientific knowledge. We’re looking for a product manager to own our kits and workflows, including EV Profiler and LNP Profiler, now that the concept is proven. You’ll make sure sample preparation, fluid handling, imaging, analysis and reporting software work together as one system, and your responsibility is the complete customer experience, from sample to scientifically meaningful result. The job is making that system rock solid: hardening what’s already on the market, making sure it works the same way at every site, and getting more customers on it without support load growing at the same rate. The Role As part of the Product team, you’ll own the product management of our kits and end-to-end workflows, including the Discovery Kit, EV Profiler and LNP Profiler and their future revisions. You will ensure these work together with automated sample preparation and fluid handling, imaging, analysis and reporting software to deliver reliable, reproducible and intuitive solutions for our customers. The initial products have launched, and the work now is making them dependable, repeatable, and scalable for our customers. You’ll create clarity and momentum for the R&D teams by understanding which problems matter, turning customer and market evidence into priorities, and removing barriers to delivering a coherent solution. You’ll grow adoption to routine use across many sites, including bioprocessing and QC settings where results must be reproducible and defensible, and you’ll work with Marketing on positioning and the product story as the portfolio evolves. You will play a critical role in bringing these quality improvements to the market and ensuring that current and future kits maintain their quality over time, and you’ll help define the roadmap for next iterations of existing and future kits and workflows. As a product manager, you’ll be the connective tissue between software, hardware, bioware, support, and the field, acting as the voice of the customer to help internal teams better understand our customers’ needs and problems. The role is ideal for a technically curious, commercially aware individual who loves getting hands-on with products, takes ownership of outcomes and thrives on complex, cross-functional challenges. You will work broadly across our platform and alongside US colleagues; the position is based in Oxford and involves occasional travel to customers and our US team (typically 10-20%). What you’ll do Understand scientists and their complete workflows first-hand. Work with customers and field teams, study usage and support data, and synthesize their sometimes conflicting inputs into the problems worth solving. Drive evidence-led product direction and priorities across our solutions with R&D and commercial leaders, balancing customer outcomes, differentiation, adoption, reliability, margin and technical feasibility. Own the roadmap for our kits (including the Discovery Kit and the EV and LNP Profiler kits) and workflows, balancing quality, reliability, usability and new features. Build and refine market and product requirements (MRD/PRD) across workflows, from sample preparation (Aplo Flow) through acquisition (Aplo Scope) to analysis (CODI), according to our Product Development Process. Own validation for each kit and workflow: define acceptance criteria, performance specifications and validation plans, including reference samples and reproducibility across instruments, operators and sites. Work with R&D, who own development and verification. Drive coherence across our end-to-end solutions, ensuring kits, reagents, lab automation, instruments and software evolve together rather than as disconnected products. Champion reproducibility, usability and reliable results across the complete workflow. Connect R&D, operations, quality, service, field applications, sales, marketing and customers. Establish feedback loops, clear ownership and effective cross-team decisions. Own pricing and packaging for our kits and workflows, balancing customer value, competitiveness and margin targets. Work with Marketing throughout a product's life to shape positioning, the value proposition and the product story as the portfolio evolves, not only at launch. Lead launch and release planning with R&D, Marketing and the field: set readiness criteria, make go/no-go decisions, and coordinate documentation, release notes and training for each launch or revision. Create and run webinars and internal training for the field application and sales teams on new products and revisions, and keep an accurate record of what each kit, instrument and software version can deliver. Track post-launch performance, including adoption, kit reorders, time to first result, reproducibility, support burden, customer feedback and commercial results, and use it to set priorities. Analyze support tickets, logs and customer feedback to identify recurring failure modes, and prioritize root-cause fixes into the roadmap. Work with Quality and Operations on manufacturing transfer, life cycle support and end of life, so our kits and workflows maintain quality over time. What you’ll bring A life-science background, ideally EVs, LNPs, nanoparticle characterization, imaging or biophysics. Being able to speak the language of our customers is critical. An MSc/PhD or equivalent hands-on experience is a real plus. Fluency across software, instruments, laboratory workflows and multidisciplinary R&D; comfortable investigating issues hands-on and understanding how the system fits together. Experience working with empowered, cross-functional development teams: knowing when to provide context, decide on a trade-off and leave the solution to specialists. Product management (or product owner) experience in life-science tools or instrumentation, ideally taking something from first release to a scaled, supported product. Experience planning and running launches with Marketing, R&D and the field, from development through adoption. Commercial and pricing judgement: You can weigh customer value, competitiveness and margin when setting price and packaging. A quality mindset: You’re comfortable writing acceptance criteria and test plans, and you think about risk, reproducibility and traceability. Exposure to a quality system (ISO 9001 or 13485) is a plus. Comfort with data: logs, tickets, precision and method-comparison numbers (CVs, site to site). Evidence sets priorities, not the loudest voice. The ability to lead across software, hardware, bioware, support and field without owning any of them, and to prioritize when everything feels urgent. Clear writing and organization skills. Requirements, release notes and docs that other people can act on. Nice to have Super-resolution or single-molecule imaging experience (dSTORM, PALM, DNA-PAINT), or general microscopy experience (TIRF, widefield, confocal, spinning-disk). Hands-on EV or LNP work in research, biopharma, gene therapy or drug delivery. Laboratory automation, automated liquid handling, sample preparation, consumable kits, workflow integration, scientific software or data analysis. Integrating instruments, software, consumables and automated lab workflows; exposure to verification, validation, quality systems or lifecycle support. Commercialization, pricing, segmentation, product positioning or product marketing in technically sophisticated markets. At ONI, we understand that a fulfilling career involves more than just challenging work • it's about enjoying a well-rounded experience. When you become a part of our team, you not only contribute to groundbreaking research but also enjoy a range of benefits designed to enhance your life both inside and outside the workplace. As an equal opportunity employer, we prioritize fairness and respect, ensuring every team member thrives regardless of their background. But that's not all • our perks include:Competitive Compensation We recognise and reward your talent. Enjoy a competitive salary that reflects your expertise and contributions, ensuring your hard work is recognized.28 days of annual leave plus local bank holidays and 4 dedicated wellbeing days.Private Healthcare and Dental Coverage: Your health matters to us. Access top-notch medical and dental services, ensuring your well-being is in good hands.Inclusive Culture: Be a valued member of our diverse, inclusive family. Your unique perspective is celebrated here, fostering a culture of mutual respect and understanding.Health Assured: Your mental health is essential. Access our comprehensive mental health support services for a balanced work-life experience.People’s Pension: Secure your future with our pension scheme, investing in your financial well-being beyond the workplace.Perks at Work: Enjoy exclusive discounts and deals through our perks at work program, adding value to your everyday life.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. xrnqpay Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Generative Biology Institute in Oxford, United Kingdom, seeks a Bio-ML Scientist (Metabolic Modelling) to develop AI/ML systems for metabolic design and discovery, collaborating with wet lab and computational teams.

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands‑on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You'll work side‑by‑side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned‑controlled, well‑structured, and ready for ML. You will help scientists turn raw information from various sources into high‑quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands‑on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain‑specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High‑Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Nobody checks every box - if you are excited about this role and think you could contribute, we encourage you to apply. • You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science - reproducibility, version‑control, schema design, lineage, single‑source of truth., • You think in terms of systems and longevity, not just one‑off ETL scripts, and embrace end‑to‑end ownership from low‑level performance to user interfaces. Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: • Experience preparing data for ML: pre‑training, post‑training, and evaluations., • Scientific background, with experience or qualifications in genomics, proteomics, or other related fields., • Experience in bioinformatics and use of industry‑standard tooling such as NextFlow., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • 2 days per week in Oxford office, 1 day per week in employee's choice of Oxford or London office, 2 days per week work from any UK location., • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at eit.org The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: • Improved plant productivity, both indoors and outside., • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant-based production platforms for food and medicines., • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. EIT is seeking a Scientist to join the Cell Based Production programme.The successful candidate will contribute to innovative research in plant specialised metabolism engineering, within the overall programme goal of advancing plant and cell tissue culture for novel decarbonised plant-based production of food and/or medicines, taking projects from fundamental discovery through to technological development and scalable application. The ideal candidate will have a strong background in analytics of small molecules and natural products of plant specialised metabolism, with expertise in compound identification, extraction, purification and mass spectrometry as well as computationally supported structural assignment. The scientist will be expected to show awareness to IP generation and play an active role in translating research into real-world and commercial solutions aligned with EIT’s mission of humane technological advancement. This role offers a unique opportunity to conduct high-impact research at the forefront of plant science while collaborating across multidisciplinary teams to drive innovation from lab.. • Support metabolic engineering of plant natural products with applications in health and medicine in a highly collaborative environment., • Design and conduct research focused on class-targeted metabolomics of plant specialised metabolism in complex mixtures from non-model sources., • Develop customized libraries based on chromatographic and mass spectrometry-based features., • Fundamental understanding of carbon flux analysis to support computationally assisted model building and prediction of regulatory and metabolic bottlenecks steps., • Collaborate with EIT Oxford AI and Robotics teams to establish high throughput, targeted analytical procedures., • Drive rigorous experimental design, execution, and data interpretations, ensuring robust and reproducible scientific outcomes., • Deliver research progress through stage gated milestones., • Collaborate with cross-functional teams to incorporate cutting edge research techniques into experiments., • Present scientific work at seminars within EIT and at external meetings, including contributing to discussions on developments within the field, in compliance with company disclosure procedures., • Recognise and act on opportunities for the creation of IP and cooperating in patent protection and in impact delivery., • Conduct research ethically, in compliance with EIT policy, regulatory guidance, and best scientific practice. Requirements • PhD in organic chemistry, natural product biochemistry, plant molecular biology or related discipline., • Extraction, purification and de novo structural elucidation of natural products., • Experience in small molecule synthesis and characterization., • Demonstrated experience in collaboration with cross-disciplinary teams, such as synthetic biology or molecular biology., • Hands-on experience with recent technologies in GC-, LC-mass spectrometry and structural analysis supported by NMR., • Experience with organic synthesis/retrosynthesis for analytical standards and supporting rational pathway discovery., • Understanding of plant metabolic pathways from network perspective, i.e. conjugation and derivatization., • Foundational knowledge in enzyme biochemistry., • Demonstration of commercial awareness and versatility of research that could serve a wide range of different applications (e.g. oils, pharmaceuticals, foods)., • Interest in mentoring members of the research group and contributing to building and maintaining a publication record., • Recognition of the value of translation of scientific results into commercial opportunities consistent with the EIT humane endeavours., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services #J-18808-Ljbffr

⌕ Job Overview: This role sits at the centre of how Salience Labs takes our photonic switching technology from prototype to reliable deployment in AI networks. You will define, build and operate our system test capability, covering complex opto-electronic setups, automation and structured test execution. We need someone with a clear, organised and outcome driven approach, able to design test strategies from first principles and communicate progress with data led clarity. Success requires strong technical depth, solid operational discipline and the ability to work quickly and precisely in a lab environment. You will shape how we validate our switching hardware, ensure test readiness at each milestone and remove bottlenecks through smart automation and process improvement. ✎ What you'll be doing Help design and implement the system level test strategy for Salience’s photonic switching platform, covering test planning, setup definition, execution and reporting. Build and maintain complex optical and electronic measurement setups with strong attention to stability, repeatability and safety. Automate test sequences and data capture pipelines to minimise manual overhead and accelerate learning cycles. Develop and communicate a clear view of test readiness, critical paths and parallelisable work. Create plans, timelines and prioritisation frameworks that reflect real engineering constraints. Optimise existing test processes by identifying wasted effort, anticipating failure modes and preparing setups ahead of hardware arrivals. Collaborate closely with Photonics, Electronics, Firmware and Product teams to ensure test outputs align with system level performance requirements for high bandwidth, low latency switching. Drive a culture of disciplined execution with a clear understanding of the commercial end goal. Help shape and lead the function with competence, judgement and reliability, even before any formal line management is introduced. 𓏗𓏗 What we're looking for Strong experience working hands on in lab environments involving complex optical, photonic or mixed signal electronic setups. Demonstrable ability to build, debug and optimise measurement systems, and automate test workflows. Comfortable operating in environments where test coverage, data quality and repeatability underpin every decision. Ability to plan rigorously, track progress, think in parallel and flag risks early. A background that may include photonics, optics, MEMS, mixed signal electronics, semiconductor test or high-speed transceiver validation. Experience with automated test frameworks, scripting for test automation and data analysis tooling. Fluency in Python (NumPy) and familiarity with VISA/SCPI protocols is essential. Strong organisational capability, able to set expectations, anticipate bottlenecks and maintain momentum across multiple teams. Based in the UK or willing to relocate, with consistent presence required in the Oxford lab. ✧ Even better if you Have experience scaling system test infrastructure for high performance communication or switching hardware. Are comfortable developing automated analysis pipelines to support data led decision making. Have previously led or mentored test or validation teams. Bring understanding of reliability, environmental or system level testing for optical or networking hardware. Possess a practical commercial mindset, able to balance speed, risk and technical depth. If you are looking for an opportunity to shape the core test capability of a deep tech company redefining photonic switching for AI infrastructure, we would be glad to speak with you. This role suits someone who enjoys turning complex hardware behaviour into clear signals, structured plans and meaningful progress. #J-18808-Ljbffr

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Artificial Intelligence & Robotics At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: • Improved plant productivity, both indoors and outside, • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant-based production platforms for food and medicines, • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long‑term substantial funding to support the unique scale and ambition of its vision. EIT is seeking a highly motivated and skilled Scientist or Senior Scientist in Plant Cell Screening and Photosynthesis Engineering to join its pioneering Plant Biology Institute. The successful candidate will lead the development of an innovative plant cell‑based screening platform for evaluating carbon fixation. Once established, the platform will be used to identify improved variants of photosynthesis enzymes and assess engineered metabolic pathways designed to enhance photosynthesis. The most promising enzyme variants and pathway designs will be advanced into whole plants to support the development of high‑performance crop varieties with enhanced photosynthetic capacity. The scientist will be expected to contribute to IP generation and play an active role in translating research into real‑world and commercial solutions aligned with EIT's mission of humane technological advancement. This role offers a unique opportunity to conduct high‑impact research at the forefront of plant science while collaborating across multidisciplinary teams to drive innovation from lab to global impact. • Lead the development of a plant cell‑based screening platform to assess carbon fixation and other physiological responses in suspension cultures, • Develop and apply quantitative methods to measure carbon fixation rates in plant cell suspensions, • Use the plant cell‑based screening platform to Identify improved variants of photosynthesis enzymes, • Use the plant cell‑based screening platform to assess engineered metabolic pathways designed to enhance photosynthesis, • Lead genetic engineering experiments in plant cell cultures, including targeted gene knockouts, gene insertions, and CRISPR‑based genome editing, • Apply iterative design‑build‑test‑learn cycles to develop and refine engineering strategies, • Advance promising enzyme variants and pathway designs into whole plants for functional validation, • Drive rigorous experimental design, execution, and data interpretations, ensuring robust and reproducible scientific outcomes, • Deliver research progress through stage gated milestones, • Collaborate with cross‑functional teams to incorporate cutting edge research techniques into experiments, • Present scientific work at seminars within EIT and at external meetings, including contributing to discussions on developments within the field, • Assist in mentoring other members of the research group where appropriate, • Assist in the translation of scientific results into commercial opportunities consistent with the EIT humane endeavours, • Recognise and act on opportunities for the creation of IP and cooperating in patent protection and in impact delivery, • Conduct research ethically, in compliance with EIT policy, regulatory guidance, and best scientific practice, • PhD in Plant Biology, Plant Physiology, Photosynthesis, Synthetic Biology, Metabolic Engineering, Molecular Biology, Biochemistry or a related discipline, • Strong research background with expertise in one or more areas relevant to the role. Indicative examples include:, • Demonstrated experience developing or applying cell‑based methods to measure carbon fixation, photosynthetic activity and/or metabolic performance, • Demonstrated experience in engineering photosynthesis or carbon fixation, • Demonstrated experience in plant metabolic engineering, enzyme engineering or synthetic biology, • Demonstrated experience designing, generating or screening enzyme variant libraries, • Demonstrated experience with transient and stable genetic engineering in plant cell cultures, including targeted gene knockout, gene insertion, and CRISPR‑based genome editing, • Experience using bioreactor and microculture platforms for plant cell cultivation, physiological monitoring and experimental workflows, • Experience with plant gas‑exchange analysis and chlorophyll fluorescence measurements in plant cells or tissues, • Knowledge of enzyme biochemistry, assembly and regulation, • Experience generating and preparing biological samples for transcriptomic, metabolomic and proteomic analyses, • Experience with laboratory automation, robotics and high‑throughput experimental workflows, • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services #J-18808-Ljbffr

Join us at EIT: At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: • Improved plant productivity, both indoors and outside., • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant-based production platforms for food and medicines., • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. Your Role: The Ellison Institute of Technology (EIT) is seeking highly motivated and skilled Scientist (all levels) in Molecular Biology to be part of a transformative research programme at the forefront of plant biotechnology.The successful candidate will design and conduct experiments aligned with stage-gated milestones. The Scientist will be expected to contribute to publications and IP generation and play an active role in translating research into real-world and commercial solutions aligned with EIT’s mission of humane technological advancement. This role offers a unique opportunity to conduct high-impact research at the forefront of plant science while collaborating across multidisciplinary teams to drive innovation from lab to global impact. The ideal candidate will have an intrinsic motivation to translate their research into commercial solutions for real-life impact, and be a creative problem solver, ready to be part of a rapidly scaling team. Your Responsibilities: • Drive rigorous experimental design, execution, and data interpretations, ensuring robust and reproducible scientific outcomes., • Deliver research progress through stage gated milestones., • Collaborate with cross-functional teams to incorporate cutting edge research techniques into experiments., • Present scientific work at seminars within EIT and at external meetings, including contributing to laboratory-wide discussions on developments within the field., • Assist in mentoring other members of the research group where appropriate., • Collaborate with experts across the EIT ecosystem, e.g. at the forefront of research on AI, automation, and generative biology., • Assist in the translation of scientific results into commercial opportunities consistent with the EIT humane endeavours., • Recognise and act on opportunities for the creation of IP and cooperating in patent protection and in impact delivery., • Conduct research ethically, in compliance with EIT policy, regulatory guidance and best scientific practice. Essential Skills, Qualifications & Experience: • PhD and > 5 years postdoctoral research experience in high-performance (ideally, plant) molecular biology labs in industry or academia, • Extensive experience in the design, construction, and deployment of (ideally, plant) gene libraries for gene discovery, trait engineering, and functional genomics applications., • Hands-on experience with pooled transformation, selection, screening, and deconvolution workflows in plant cells, tissues, or whole plant systems., • Expertise in molecular cloning techniques including Golden Gate, Gateway, Gibson Assembly and modular DNA assembly systems., • Experience applying NGS-based methods for library quality control, construct identification, barcode tracking, and pooled-screen analysis., • Ability to design, optimise, and troubleshoot automated molecular biology workflows, including cloning, transformation, screening, and sample preparation processes., • The aptitude to rapidly test diverse and ambitious new hypotheses while retaining the flexibility to recognize and pivot away from ideas that fail to show promise. Desirable Skills, Qualifications & Experience: • Extensive knowledge of Agrobacterium-mediated transformation, transient expression systems, and stable transformation approaches across plant species., • Proven experience designing and utilising a wide range of plant expression vectors, binary vectors, and transformation constructs., • Strong understanding of plant gene regulatory networks, transcription factor biology, promoter architecture, and plant gene expression control mechanisms., • Demonstrated experience operating and developing workflows for laboratory automation platforms and liquid handling systems (e.g., Opentrons, Hamilton, or equivalent)., • Experience with high-throughput sample processing in multiwell plate formats, • Experience collaborating within multidisciplinary teams spanning molecular biology, cell biology, bioinformatics, automation, and computational biology., • Excellent experimental documentation, scientific communication, and project management skills., • Familiarity with laboratory data management systems, electronic lab notebooks, and automated data capture workflows., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services #J-18808-Ljbffr

Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we’re building the most powerful, accurate and reliable quantum systems to tackle problems that today’s supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum company delivering solutions to solve the world’s most complex problems. IonQ’s newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting‑edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025. The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking position the company as a leader in building the quantum internet. We are looking for a Staff Platform Engineer to join the Quantum System Infrastructure team at IonQ, based in our Oxford office. In this role, you will be responsible for the platform that our engineering and science teams use to build, test and deliver quantum systems to customers, contributing to the team's mission of applying DevSecOps principles to deliver reliable, secure and observable infrastructure, on‑site and in the cloud. In this position, you will build and run the infrastructure behind our quantum systems, on‑site and in the cloud, so the teams who build them can ship changes quickly and safely. You'll have the opportunity to shorten the time from a code change to a running quantum system, contributing directly to the delivery of quantum systems to our customers. As a senior member of the team, you will take on central roles in strategic projects for the Platform team, and will lead on defining, driving and implementing them. You’ll work with a wide range of partners and internal customers across IonQ's locations: physicists, lab technicians, firmware and software engineers, IT, product management and production SRE. You’ll talk to them, see where they get stuck and fix the cause. • Run and evolve the Kubernetes platform behind each quantum system, and the release process that promotes software onto it (k3s, ArgoCD, Helm), • Make CI faster and more reliable for every engineer, including our scarce hardware‑in‑the‑loop and FPGA build runners and build caches (GitHub Actions), • Make our systems observable: define dashboards and alerts as code for quantum system hardware such as lasers, cryogenics and vacuum, and move them onto IonQ's shared observability platform with our production Site Reliability Engineering (SRE) colleagues (Grafana, OpenTelemetry), • Give every engineer and physicist a ready‑to‑use remote development environment, on‑site or in the cloud, that works with our quantum system hardware, • Keep our on‑site and cloud infrastructure secure, recoverable, reproducible and reviewable as code (OpenTofu, Atmos), from secrets and access to certificates and identity, and work with IonQ's infrastructure team on shared cloud services, • Lead technical decisions and write the runbooks and guides that let other teams change the platform safely themselves To be successful, you will need hands‑on experience running Linux infrastructure in production, ideally both on-premises and in the cloud, with infrastructure as code, Kubernetes and CI/CD. We're looking for someone who can diagnose problems across the whole stack, from a storage fault to a failing pipeline to a development environment that will not start, who treats observability and security as part of the job rather than an afterthought, and who can lead a piece of work from design to rollout within a fast‑moving, highly technical team. You will write mostly Python, shell and OpenTofu. Our product code is Rust and Python: your job will be to make it build and test faster rather than write it. Our platform spans our on‑site quantum systems, and many changes reach live quantum systems. Every change goes through review and automated validation before it is applied, so we value people who plan for rollback, test against the real system and write down what they learn. Experience with AI coding tools is helpful, as is an interest in quantum computing though prior experience is not required. • 5+ years in a Platform, DevOps or Site Reliability role, running Linux systems in production, • Infrastructure as code with Terraform or OpenTofu, • Running containerised workloads on Kubernetes in production, • Building and speeding up CI/CD pipelines, ideally in GitHub Actions, • Observability and security for production systems: monitoring, alerting, secrets and access control Be part of a team that’s shaping the future of quantum. We offer more than just a role, you’ll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, • including opportunities to further your career alongside industry leaders, • a competitive salary with IonQ stock options, • an annual performance bonus, • generous annual leave, • flexible hybrid working, • private medical and dental insurance for you and your family, • and much more. Join us and be part of the future of quantum computing. We’re proud to be an equal opportunity employer and welcome applicants from all backgrounds. #J-18808-Ljbffr

OXFIDA (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published. Our work spans AI for insurance underwriting and claims, AI risk governance, privacy-preserving technologies for agentic AI, and quantum optimisation, alongside partnership projects on nature and supply chains and the emerging challenges nobody's solved yet. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. See risk clearly. Contract: 18-month fixed-term contract from signing, running until the end of February 2028 Location: Hybrid or Remote You’ll join a small, technically strong delivery team, helping to take our AI Risk Governance product from pilot through to production or within our Pricing Engine Product which is a live and deployed product used by many. There’ll also be opportunities to contribute to our broader project portfolio, building the software and infrastructure that turns research and product ideas into things that actually run. It's a senior, hands-on engineering role with scope to learn, grow and put things in the hands of real users. • A senior, genuinely hands-on engineering role, not one that quietly turns into pure management., • Broad exposure across OXFIDA's project portfolio, from the Pricing Engine to fraud detection and AI risk governance, rather than being tied to a single narrow codebase., • We have strong ambitions in the AI Risk space and you would get to join at the early stages of developing our products in this area., • Contribute directly to the development, testing, and maintenance of OXFIDA projects, products, and initiatives., • Build robust, maintainable, and operationally sound software and infrastructure using our core stack: React, TypeScript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, and AWS., • Work with ML engineers, ML scientists, product managers, and external project partners to understand technical requirements, constraints, and delivery priorities., • Support other engineers through code review, pair programming, and mentoring, and champion engineering best practice across OXFIDA., • Troubleshoot technical, data, and integration issues arising during development and deployment., • Drive improvements to internal tooling, engineering standards, reusable frameworks, and deployment practices across OXFIDA., • Communicate technical trade-offs, risks, and progress clearly to both technical and non-technical stakeholders., • 5+ years of commercial software experience., • A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another relevant STEM discipline, or equivalent practical experience., • Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS., • Strong core software engineering and DevOps skills, including CI/CD, version control, containerisation, and cloud deployment., • A solid grasp of engineering best practice, producing clean, maintainable, well-tested code., • Comfort with code review, giving clear, actionable, constructive feedback to others., • Proven effectiveness in a remote-first, iterative agile environment., • Experience working across the full lifecycle, from experimentation and prototyping through to integration and operationalisation., • Ability to work effectively in technically complex, ambiguous environments involving multiple stakeholders., • Strong communication skills, including explaining technical issues and trade-offs clearly to non-specialists., • Bonus points: experience architecting complex distributed software systems for cloud environments, experience deploying ML, AI, or data-driven systems into production or near-production settings #J-18808-Ljbffr

IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modelling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance. Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. We are looking for an Electronics Engineering Manager to lead the electronics function within our Systems team at IonQ. You will lead a team of three electronics engineers and grow it as our programmes scale. The team designs, builds and tests the electronics subsystems behind our mission to build the most performant quantum computers. This is a player-coach role, with roughly 60% of your time spent leading the team and 40% on hands‑on design work. You will set the technical direction for our electronics deliverables and build a team that can deliver them reliably, from experimental prototypes to rack‑ready production systems. You will own the electronics roadmap for current and next‑generation quantum systems. That covers schematic capture and PCB layout through to board and system‑level test, and the drive architecture for QPU designs. You will balance hands‑on technical leadership with people management, planning and coordination across teams. As the main electronics contact for the physics, firmware, mechanical and systems teams, you will turn complex physical requirements into clear, achievable engineering plans, and you will keep improving the tooling, workflow and capability of the team. Key responsibilities include: • Team leadership: Lead and develop a team of three electronics engineers and play a key role in growing it through hiring. Set clear goals, run regular 1:1s and performance reviews, and build a culture of technical excellence and accountability., • Technical direction: Own the architecture of the electronics subsystems, including mixed‑signal design, high‑speed digital and signal integrity. Approve key design decisions and lead design reviews., • Delivery and planning: Plan, prioritise and track electronics workstreams against programme milestones, managing resourcing, schedules, risks and dependencies, and report progress to stakeholders., • Quality and process: Set and improve design standards, review processes, verification and test strategy (simulation, bench test, system integration) and documentation practices., • Productisation: Lead the move from experimental prototypes to robust, manufacturable, rack‑ready production systems, working with suppliers and contract manufacturers as needed. To succeed, you will need around ten years of experience in electronics design, with a strong background in high‑speed and mixed‑signal electronics, proven experience leading engineers and a track record of taking hardware from concept through prototype to production on schedule. You should be able to give credible technical guidance while growing the team around you, and bring a high level of attention to detail to your own work and to the designs you review. You will be comfortable in a fast‑moving, highly technical environment and know when to use waterfall or agile delivery in a hardware setting. Experience with Jira and Smartsheet, exposure to cryogenic environments, RF/microwave engineering (up to 500 MHz) or Python‑based test automation, and familiarity with the Sinara/ARTIQ ecosystem in a quantum or physics research setting would all be an advantage. you'd be a great fit with: • Engineering leadership experience: A track record of managing or technically leading electronics engineers, including hiring, mentoring and performance management., • Strong hardware design background: Hands‑on experience with mixed‑signal and high‑speed digital design, SPICE modelling and lab verification (oscilloscopes, spectrum analysers)., • Altium expertise: Experience with complex schematics, rigid‑flex designs and advanced signal‑integrity constraints, and the ability to review and guide others' designs., • FPGA and high‑performance hardware: Familiarity with Xilinx/Intel toolchains (Vivado/Quartus) and carriers such as the BittWare XUP series or Sinara/ARTIQ hardware., • High‑speed interfaces: Knowledge of SFP+/QSFP-DD interfaces, 10/100G Ethernet and high‑speed differential pair routing. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. • comprehensive medical, dental, and vision plans, • matching 401(k), • unlimited PTO and paid holidays, • parental/adoption leave, • legal insurance, • a home technology stipend At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample-to-answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud-computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. We're seeking an experienced and innovative Senior MEMS Development Engineer to develop novel microfabricated devices and sensor interfaces for next-generation nanopore sequencing technologies. This hands‑on role will focus on designing, prototyping, and characterising MEMS devices, taking concepts from proof‑of‑concept through to integrated multi‑channel sensing systems. Working closely with a Senior Electronics R&D Engineer, you'll drive device development through iterative design, testing, and optimisation. You’ll tackle challenges spanning microfabrication, materials, device architecture, and MEMS-electronics integration while collaborating with external fabrication partners and technical suppliers. As the programme grows, you’ll help establish the MEMS engineering capabilities, processes, and technical foundations needed to support a wider multidisciplinary team. • Take technical ownership of the MEMS engineering development of novel microfabricated sensing structures and device interfaces, from early concepts through to functional prototypes and integrated systems, • Design and develop microfabricated devices and test structures, including the selection of materials, fabrication processes and device geometries, • Develop and evaluate fabrication approaches using established semiconductor and MEMS manufacturing techniques, adapting processes to meet the requirements of novel sensing devices, • Work closely with the Senior Electrical R&D Engineer to co‑develop and evaluate prototype devices, using experimental findings to guide iterative improvements in MEMS design and electronic integration, • Design and characterise mechanical, electrical and material interfaces, investigating their influence on device performance, reliability and repeatability, • Develop experimental methods and test structures to assess fabrication quality, dimensional accuracy, device performance and reliability, • Investigate the effects of materials, surface properties, fabrication tolerances and assembly processes on device behaviour and performance, • Collaborate with electrical and mechanical engineers to develop prototype assemblies, alignment methods and experimental test platforms, • Identify and resolve fabrication challenges through design iteration, experimental characterisation and failure analysis, • Develop increasingly sophisticated prototype devices as the project progresses, supporting the transition from initial feasibility studies to integrated nanopore sensing systems, • Identify and engage specialist external fabrication facilities, engineering suppliers and technical collaborators to support the development and manufacture of prototype components and devices, • Define technical specifications and fabrication requirements for external suppliers, including design documentation, material requirements, dimensional tolerances and performance criteria, • Coordinate technical activities with external suppliers and collaborators, reviewing fabrication approaches, monitoring progress and evaluating deliverables against agreed requirements, • Plan and execute structured experiments, analyse performance data and translate findings into engineering requirements and design improvements, • Contribute to the selection and development of fabrication methods, considering manufacturability, scalability, cost and process reliability, • Maintain clear technical documentation, design records and experimental results, contributing to intellectual property development and technical reviews while ensuring appropriate confidentiality, • Provide technical guidance and mentoring as the engineering team expands, helping establish robust engineering practices and development processes We welcome applicants from industry, applied research and academia who can demonstrate strong technical expertise and practical engineering capability. • Degree in Electrical Engineering, Mechanical Engineering, Materials Science, Physics or a related discipline, or equivalent relevant experience, • Significant experience in MEMS engineering, semiconductor microfabrication or microdevice development, ideally involving novel sensors, electronic interfaces or precision microfabricated systems, • Strong understanding of MEMS design principles, materials selection and microfabrication techniques, • Experience designing microfabricated devices using CAD tools, including the preparation of layouts, fabrication drawings or photolithography mask designs, • Practical knowledge of semiconductor and MEMS manufacturing processes, such as photolithography, thin‑film deposition, etching, surface treatment and metallisation, • Experience developing and characterising prototype devices, including dimensional, mechanical and electrical evaluation, • Ability to understand and resolve fabrication challenges through experimental investigation, design modification and process optimisation, • Knowledge of material properties, fabrication tolerances and their influence on device functionality and reliability, • Experience planning and executing structured experimental programmes to characterise complex devices and resolve technical challenges, • Ability to work independently, establish technical approaches and deliver functional prototypes in an early‑stage R&D environment, • Experience collaborating with multidisciplinary teams and translating requirements between MEMS, electronics, mechanical engineering and device fabrication, • Ability to develop clear technical specifications and work effectively with external fabrication facilities, engineering suppliers or development partners, • Experience developing MEMS or microfabricated devices for biosensing, electrochemical sensing, nanopore technologies or other sensor applications, • Knowledge of silicon micromachining, wafer processing and microelectronic device fabrication, • Experience with microfabricated electrodes, conductive thin films, dielectric materials or electronic sensor interfaces, • Familiarity with microelectronic packaging, device assembly, bonding and integration of MEMS with electronic systems, • Experience with polymeric materials, elastomeric components or other compliant materials used in microsystems, • Knowledge of mechanical contact behaviour, surface interactions, material deformation and reliability testing at small length scales, • Experience with optical microscopy, electron microscopy, profilometry, surface analysis or other microdevice characterisation techniques, • Experience designing devices that incorporate fluidic, electrochemical or biological components, • Familiarity with finite element analysis or other simulation methods for mechanical, thermal or material behaviour, • Experience working with external MEMS foundries, academic cleanroom facilities or specialist microfabrication suppliers, • Knowledge of fabrication process development, process yield improvement and quality control, • Understanding of design for manufacture, engineering reliability and transitioning prototype devices towards scalable production, • Hands‑on and inventive: Enjoys solving technical challenges through practical engineering, experimentation and rapid prototyping, • Comfortable with early‑stage R&D: Able to work effectively where solutions are not yet established and technical requirements evolve through experimentation, • Analytical and systematic: Uses sound engineering judgement and quantitative evidence to understand complex behaviour and guide design decisions, • Collaborative: Works closely with specialists in electronics, mechanical engineering, chemistry and MEMS fabrication, as well as external technical partners, to develop integrated solutions, • Independent and proactive: Can establish experimental capabilities, identify priorities and progress technical work with limited existing infrastructure, • Technically ambitious: Motivated by challenging engineering problems and developing technologies with the potential for substantial real‑world impact, • Clear communicator: Able to explain complex technical challenges, document findings and communicate requirements effectively with colleagues, suppliers and external collaborators, • Salary: Competitive + travel allowance + bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis, • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate), • You must be eligible to work in the UK with occasional travel (1-3 trips per year) #J-18808-Ljbffr

IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Oxford, England, UK Hybrid We are looking for a Staff Platform Engineer to join the Quantum System Infrastructure team at IonQ, based in our Oxford office. In this role, you will be responsible for the platform that our engineering and science teams use to build, test and deliver quantum systems to customers, contributing to the team's mission of applying DevSecOps principles to deliver reliable, secure and observable infrastructure, on-site and in the cloud. As a Staff Engineer you will play a leading role in shaping the clusters, pipelines, monitoring and remote development environments that support our work in building the world's most advanced quantum systems. You'll have the opportunity to drive meaningful work in a unique environment, operating alongside the physicists and engineers who build those systems, and see vacuum chambers, cryostats and lasers in action on site. In this position, you will build and run the infrastructure behind our quantum systems, on-site and in the cloud, so the teams who build them can ship changes quickly and safely. You'll have the opportunity to shorten the time from a code change to a running quantum system, contributing directly to the delivery of quantum systems to our customers. As a senior member of the team, you will take on central roles in strategic projects for the Platform team, and will lead on defining, driving and implementing them. You'll work with a wide range of partners and internal customers across IonQ's locations: physicists, lab technicians, firmware and software engineers, IT, product management and production SRE. You'll talk to them, see where they get stuck and fix the cause. • Run and evolve the Kubernetes platform behind each quantum system, and the release process that promotes software onto it (k3s, ArgoCD, Helm), • Make CI faster and more reliable for every engineer, including our scarce hardware-in-the-loop and FPGA build runners and build caches (GitHub Actions), • Make our systems observable: define dashboards and alerts as code for quantum system hardware such as lasers, cryogenics and vacuum, and move them onto IonQ's shared observability platform with our production Site Reliability Engineering (SRE) colleagues (Grafana, OpenTelemetry), • Give every engineer and physicist a ready-to-use remote development environment, on-site or in the cloud, that works with our quantum system hardware, • Keep our on-site and cloud infrastructure secure, recoverable, reproducible and reviewable as code (OpenTofu, Atmos), from secrets and access to certificates and identity, and work with IonQ's infrastructure team on shared cloud services, • Lead technical decisions and write the runbooks and guides that let other teams change the platform safely themselves To be successful, you will need hands-on experience running Linux infrastructure in production, ideally both on-premises and in the cloud, with infrastructure as code, Kubernetes and CI/CD. We're looking for someone who can diagnose problems across the whole stack, from a storage fault to a failing pipeline to a development environment that will not start, who treats observability and security as part of the job rather than an afterthought, and who can lead a piece of work from design to rollout within a fast-moving, highly technical team. You will write mostly Python, shell and OpenTofu. Our product code is Rust and Python: your job will be to make it build and test faster rather than write it. Our platform spans our on-site quantum systems, and many changes reach live quantum systems. Every change goes through review and automated validation before it is applied, so we value people who plan for rollback, test against the real system and write down what they learn. Experience with AI coding tools is helpful, as is an interest in quantum computing though prior experience is not required. You'd be a great fit with: • 5+ years in a Platform, DevOps or Site Reliability role, running Linux systems in production, • Infrastructure as code with Terraform or OpenTofu, • Running containerised workloads on Kubernetes in production, • Building and speeding up CI/CD pipelines, ideally in GitHub Actions, • Observability and security for production systems: monitoring, alerting, secrets and access control Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying "U.S. Person" (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Program Within this ecosystem, the Pathogen Mission exemplifies EIT’s commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample-to-answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.’s cloud-computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role We are seeking an experienced and innovative Senior Electronics R&D Engineer to develop advanced electronic interfaces, instrumentation, and measurement systems for next-generation nanopore sequencing technologies. This is a hands-on role within an ambitious early-stage development programme, taking technologies from proof of concept through to integrated, multi-channel sensing systems. Working closely with a Senior MEMS Development Engineer, you will design, build, and test experimental electronics, develop custom instrumentation, and optimise prototype devices through iterative development. Key areas of focus include precision analogue measurement, low-noise circuit design, multi-channel data acquisition, electronic control systems, and system integration. You will translate emerging concepts into working prototypes, identify technical limitations, and drive continuous improvement based on experimental data. The role also involves collaborating with external suppliers and technical partners, defining requirements, overseeing outsourced development, and evaluating resulting components and systems. As the programme grows, you will help establish the electrical engineering capabilities, testing infrastructure, and technical foundations needed to support a multidisciplinary development team. Key Responsibilities • Take technical ownership of the electrical engineering development of advanced electronic interfaces and measurement systems, from early concepts through to functional prototypes and integrated devices., • Design, build and commission custom electronic test equipment and experimental platforms to characterise electrical performance, reliability and repeatability., • Develop prototype electronic circuits and sensing architectures, including multi-channel analogue measurement systems, signal conditioning and data-acquisition electronics., • Work closely with the Senior MEMS Development Engineer to co-develop and evaluate prototype devices, using experimental findings to guide iterative improvements in device and instrumentation design., • Design and implement sensitive, low-noise measurement systems capable of characterising electrical currents in the picoampere range., • Develop automated testing and data-acquisition methods to assess electrical and sensing performance, including software for instrument control and data analysis., • Investigate electrical noise, leakage currents, signal integrity, parasitic effects and cross-talk in multi-channel sensing systems., • Develop and evaluate approaches to electrical grounding, shielding and electrostatic discharge (ESD) protection for sensitive electronic and electrochemical systems., • Collaborate with mechanical, MEMS and other engineering disciplines to develop experimental fixtures, prototype assemblies and integrated test platforms., • Design increasingly sophisticated electronic test platforms as the project progresses, supporting the transition from initial feasibility studies to integrated nanopore sensing systems., • Define technical requirements and specifications for external engineering suppliers, including the design and fabrication of custom electronics, components and specialist test equipment., • Coordinate technical activities with external suppliers and collaborators, reviewing designs, monitoring progress and evaluating deliverables against agreed performance requirements., • Plan and execute structured experiments, analyse performance data and translate findings into engineering requirements and design improvements., • Contribute to component selection, prototype fabrication, supplier engagement and assessments of manufacturability, scalability and cost., • Maintain clear technical documentation, design records and experimental results, contributing to intellectual property development and technical reviews while ensuring appropriate confidentiality., • Provide technical guidance and mentoring as the engineering team expands, helping establish robust engineering practices and development processes. Knowledge, Skills and Experience We welcome applicants from industry, applied research and academia who can demonstrate strong technical expertise and practical engineering capability. • Degree in Electrical or Electronic Engineering, Physics or a related discipline, or equivalent relevant experience., • Significant experience in electronic engineering research and development, ideally involving novel instrumentation, sensor systems or precision measurement technologies., • Strong understanding of analogue and mixed-signal electronics, including low-noise circuit design, signal conditioning and measurement techniques., • Proven experience designing, building and debugging electronic hardware, including custom circuits, printed circuit boards and laboratory test systems., • Practical experience developing experimental instrumentation using laboratory equipment such as oscilloscopes, source-measure units, precision current measurement systems and data-acquisition hardware., • Experience developing or integrating electronic control, switching or multi-channel measurement systems., • Ability to develop automated test methods, including scripting or programming for instrument control, data acquisition and analysis., • Experience planning and executing structured experimental programmes to characterise complex electronic systems and resolve technical challenges., • Strong understanding of electrical signal integrity, grounding, shielding and methods for minimising noise and interference., • Ability to work independently, establish technical direction and deliver working prototypes in an early-stage R&D environment., • Experience collaborating with multidisciplinary teams and translating requirements between electronics, mechanical engineering and device fabrication., • Ability to develop clear technical specifications and work effectively with external engineering suppliers, development partners or specialist fabricators. Desirable Knowledge, Skills and Experience • Experience with picoampere or similarly sensitive current measurements, including transimpedance amplifiers, leakage-current management and low-noise analogue front-end design., • Knowledge of electrochemical sensing, biosensors, nanopore technologies or other low-current sensor systems., • Experience with semiconductor devices, MEMS interfaces, microelectronic packaging or electronic sensor integration., • Familiarity with ASIC interfaces, FPGA-based control, electronic multiplexing or multi-channel sensor-readout architectures., • Experience developing test equipment for evaluating the electrical performance and reliability of prototype devices., • Knowledge of ESD protection strategies for sensitive electronic devices or electrochemical sensors., • Experience with Python, LabVIEW or similar tools for automated test equipment, instrument control and data analysis., • Familiarity with precision PCB design techniques, guarding, shielding and control of parasitic capacitance., • Experience integrating prototype electronics with microfabricated devices, fluidic systems or other multidisciplinary hardware., • Experience working with external engineering companies or specialist suppliers to develop, fabricate and qualify custom components or instrumentation., • Understanding of design for manufacture, engineering reliability and transitioning prototype systems towards scalable production. Key Attributes • Hands-on and inventive: Enjoys solving technical challenges through practical engineering, experimentation and rapid prototyping., • Comfortable with early-stage R&D: Able to work effectively where solutions are not yet established and technical requirements evolve through experimentation., • Analytical and systematic: Uses sound engineering judgement and quantitative evidence to understand complex behaviour and guide design decisions., • Collaborative: Works closely with specialists in MEMS, mechanical engineering, chemistry and electronics, as well as external technical partners, to develop integrated solutions., • Independent and proactive: Can establish experimental capabilities, identify priorities and progress technical work with limited existing infrastructure., • Technically ambitious: Motivated by challenging engineering problems and developing technologies with the potential for substantial real-world impact., • Clear communicator: Able to explain complex technical challenges, document findings and communicate requirements effectively with colleagues, suppliers and external collaborators. Our Benefits: • Salary: Competitive + travel allowance + bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme Working Together – What It Involves: • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis., • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate)., • You must be eligible to work in the UK with occasional travel (1-3 trips per year). #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at www.eit.org. Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated Platform Engineer to help manage and develop the infrastructure behind our data platform, ensuring it is secure, scalable, and efficient. Working closely with data engineers and DevSecOps specialists, you'll support research teams by enabling advanced bioinformatics workflows and cloud-based solutions. This position offers the chance to contribute to a programme focused on improving global health through pathogen genomics and cutting-edge technology. Key Responsibilities • Manage object data storage, ensuring efficient design, tiering, and access controls, • Build and maintain the research compute environment for bioinformatics pipelines and interactive analytics, • Ensure the data platform complies with disaster recovery standards, • Manage cloud resources to set standards and automate deployments, • Collaborate with the AI and Robotics team to contribute to and reuse modular assets using Terraform code models, • Automate the deployment of tools within the research environment, • Monitor all platform components for availability, cost, and performance, • Support R&D activities to test novel approaches and Oracle Cloud usage, • Support data ingestion from a global network of distributed sequencing devices, • Maintain platform security in alignment with EIT standards, • Work with architects and engineers to build optimized data platform components, including genomic variant stores, sequence stores, and pathogen analytics databases, • Partner with the DevSecOps engineer to automate deployments using a standard toolchain, • Enable engineers to perform common tasks through automated self-service scripts, • Support system administration and operations across environments, • Collaborate with engineers to learn from incidents and implement improvements Requirements Essential Knowledge, Skills, and Experience • Strong hands-on experience with cloud infrastructure, ideally Oracle Cloud, including provisioning, configuration, and service management, • Ability to automate processes using Terraform and appropriate toolchains, • In-depth knowledge of containerization technologies (e.g., Docker) and orchestration tools like Kubernetes, • Solid understanding of cloud security best practices, including IAM, network security, and encryption, • Experience with Git or other version control systems Desirable Knowledge, Skills, And Experience • Certifications in Oracle Cloud (OCI) or other platforms (AWS, GCP), • Experience with Jira, Confluence, or similar project management tools, • Knowledge of compliance frameworks and standards (e.g., GDPR, HIPAA, ISO27001, ISO13485) Key Attributes • Strong collaboration skills, • Willingness to learn and cross-train in new technologies, • Hands-on approach to exploring new technologies and developing POCs, • Excellent problem-solving and analytical skills, with the ability to address security challenges critically, • Effective communication and teamwork abilities, especially in cross-functional teams, • Ability to manage multiple tasks and meet deadlines in a fast-paced environment, • Attention to detail and commitment to security and quality assurance, • Flexibility to adapt and contribute to a rapidly scaling organization Benefits We offer the following benefits: • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electrical Car Scheme Working Together - What It Involves: • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis, • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate) #J-18808-Ljbffr

I'm working with an early-stage biotech startup based in Oxford building machine learning-driven platforms for drug discovery. Their mission is to dramatically reduce the time and cost of bringing new therapies to market by combining computational biology, large-scale biological datasets, and modern ML techniques. Backed by top-tier investors, they're a small, high-calibre team of scientists and engineers. We’re hiring a Lead Bio-ML Engineer to take ownership of our core machine learning systems. This is a high-impact, high-autonomy role where you’ll: • Own the end-to-end ML lifecycle (data, modelling, deployment), • Work closely with biologists to translate experimental problems into ML solutions, • Build and scale models across areas like sequence modelling, structure prediction, and multimodal biological data, • Shape the technical direction and ML roadmap, • Mentor and grow a small team as they scale, • Designing models for genomics, proteomics, and drug discovery pipelines, • Applying deep learning / foundation models to biological datasets, • Building robust, production-ready ML systems (not just research prototypes), • Developing internal tooling for data pipelines, experiment tracking, and model evaluation Core experience: • Strong background in machine learning / AI engineering, • Experience applying ML to life sciences, bioinformatics, or computational biology, • Production experience with Python + PyTorch / TensorFlow, • Track record of owning and shipping ML systems end-to-end Nice to have: • Experience with biological data (e.g. sequencing, protein structures), • Familiarity with drug discovery or wet-lab collaboration, • Exposure to LLMs / foundation models in biology, • Previous startup or high-ownership environment, • High ownership: you’ll define and build critical systems from the ground up, • Real-world impact: your work directly contributes to therapeutic discovery, • Tight feedback loop: collaborate daily with domain experts, • Equity upside: meaningful stake in an early-stage company, • Small, elite team: no bureaucracy, just execution Please apply here or reach out to me directly on LinkedIn/ via email (). #J-18808-Ljbffr

Job Title: Electronics Engineer Location: Oxford Area Salary: £65,000 per annum + Excellent Benefits I'm currently partnered with a global quantum technology company who are looking for an Electronics Engineer to help bring state-of-the-art quantum tech from the lab into the real world. My client harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks, and this is a unique opportunity to join their multi-disciplinary team. This is a hands-on role contributing to the design, verification, and implementation of electronic systems for cutting-edge quantum products. • Design and develop mixed-signal electronic systems (analogue/digital interfacing)., • Perform modelling, simulation (e.g., SPICE), and analysis., • Conduct PCB design and layout (e.g., Altium), focusing on signal integrity., • Develop and execute test protocols using lab equipment (oscilloscopes, spectrum analysers, etc.)., • Collaborate with other engineering teams to integrate solutions., • Degree or substantial commercial experience in Electrical Engineering or a related field., • Excellent understanding of analogue and digital circuit principles., • Experience with the full PCB design lifecycle., • Hands-on with PCB design tools (e.g., Altium), • Strong communication and collaboration skills. This is a full-time, hybrid role (up to 2 days WFH) based in the Oxford area. My client offers an exceptional benefits package on top of a £65,000 salary: • Unlimited Paid Time Off (PTO), • Generous 10% non-contributory pension, • BUPA Private Healthcare, • Incentive Stock Option Plan, • Cycle to work & tax-efficient tech schemes #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting‑edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long‑term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose‑made facility in the Oxford Science Park, currently under construction. Once complete, this state‑of‑the‑art facility will include more than 40,000 m² of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavors. At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and machine learning systems that drive GBI’s scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post-holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI’s Technology Hub on ML Engineering, a fast‑growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology‑centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome‑scale metabolic models. Our team ethos is based on mutual learning, strong peer‑to‑peer support, and a deep sense of scientific curiosity and ambition. • Research, design and build AI and machine learning systems to address GBI’s research challenges in synthetic biology, genome design, and molecular evolution., • Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators., • Work closely with GBI scientists in co‑creation of research projects and development of fit‑for‑purpose computational solutions., • Provide expert computational biology knowhow to GBI researchers and scope novel avenues of research., • Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps., • Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentation of data, models, and code., • Keep abreast of progress in AIxBio and make use of strategic learning opportunities., • Lead and contribute to research publications in prestigious venues., • Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines., • PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline., • Experience in building machine learning models for biological design or discovery tasks, involving processing, visualizing, and analysing various data modalities., • Ability to abstract high‑level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences., • Ability to learn quickly and dive into a range of problem spaces and computational methods., • Ability to work and communicate with and within diverse and multidisciplinary teams., • Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation., • Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background., • Excellent time management skills across competing tasks requiring rapid context switching., • Two years of industry or postdoctoral experience in similar roles., • Proven experience with integration of machine learning methods with genome‑scale metabolic models., • Proven experience with best practices and established software pipelines for genome‑scale metabolic modelling, including automated model construction from ‘omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint‑based modelling., • Travel Allowance, • Bonus, • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis., • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate)., • Hybrid working model #J-18808-Ljbffr

Location: Hybrid UK, at least 3 days per week on site in Kidlington, with occasional travel to Exeter Schedule: • Lab system changes happen outside lab hours, usually on a Sunday or Monday, about once or twice a month. Visas: Unfortunately, we are not in a position to offer visa sponsorship for this role. About the role Our pathology lab runs on a lot of connected technology: a lab information system, scanners, automations, servers and integrations with our cloud diagnostic platform. Many teams work on these systems. We need one person to own them. As our Lab Systems Engineer, you'll be that owner. You'll keep the lab's systems available, up to date and well connected, and you'll make sure every change reaches the lab safely, with testing, validation and a rollback plan in place. You'll work with IT, information security, integration, product, technical support and our software suppliers, and bring their work together into one approach. This is a hands‑on role for someone who likes ownership. It isn't a helpdesk role, and you won't need to be an expert in wet‑lab processes. What you'll do • Own the lab systems end to end: the lab information system, scanners, automations, servers, network and the integrations with our cloud platform., • Own the release cycle for lab systems: impact assessment, testing, validation, rollback planning and the go or no-go decision. Your first priority will be making upgrades to our core lab systems safe and predictable., • Lead service recovery when something goes wrong: restore the service, then find and fix the root cause., • Manage our lab software suppliers, agree priorities and support availability, and hold them to agreed dates., • Plan downtime and change windows with the lab so turnaround time is protected., • Put monitoring, disaster recovery and business continuity in place, and keep the documentation and evidence our accreditations need (UKAS ISO 15189, ISO 27001, Cyber Essentials Plus, NHS DSPT). What you'll bring • Hands‑on experience configuring, running and maintaining a LIMS or LIS., • Experience in a hospital, pathology or clinical laboratory, or another regulated healthcare setting., • Experience integrating lab systems with cloud or SaaS products and other systems (e.g. HL7, APIs)., • A track record of managing upgrades and changes in a live, business-critical environment., • Experience managing software suppliers and holding them to delivery dates., • A habit of building in monitoring, recovery and documentation as part of everyday work. It would be great if you also have: experience with digital pathology or medical imaging (whole slide scanners, DICOM, PACS), HL7 instrument integration, or SQL troubleshooting. About the Company Diagnexia, a subsidiary of Deciphex: Accelerating Certainty and Pioneering Pathology Services. Diagnexia, a leading provider of pathology services, operates as a subsidiary of the parent company, Deciphex. Established in Dublin in 2017, Deciphex has rapidly expanded to become a global team of over 230 professionals, offering innovative software solutions to address the pathology gap in both research and clinical areas. With a mission to accelerate the drug development process and provide timely, accurate diagnoses for cancer patients, Deciphex has established a strong presence through its offices in Dublin, Exeter, Oxford and Chicago. As part of the Deciphex family, Diagnexia leverages its expertise to provide cutting‑edge diagnostic solutions to healthcare organizations worldwide. Our cloud-based platform enables hospitals to easily and rapidly send cases for a consultation to our team of expert subspecialists. We are dedicated to improving patient outcomes and helping healthcare organisations stay at the forefront of the industry. We are software developers, clinical specialists, AI engineers, operations professionals and so much more, all working as one team to support our customers and patients. Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can enjoy doing it. We are looking for highly motivated individuals who are excited to take on challenges and value making a difference in their day‑to‑day work. This is a unique opportunity to make a difference in the emerging Digital Pathology field. What are the benefits of working with Diagnexia? • Healthcare benefits, • Competitive paid time off, • A true sense of meaning in your work by contributing to better patient outcomes., • The opportunity to work alongside a world‑class high performing team in a hyper‑growth startup environment., • A chance to work on exciting, challenging and unique projects., • Regular performance feedback and significant career growth opportunities., • A highly collaborative and supportive multi cultural team. Diagnexia is an equal opportunities employer and we are committed to the principle of equality. All qualified applicants will be considered for employment without regard to age, race, religious beliefs, political views, gender identity, affectional or sexual orientation, national origin, family or marital status (including pregnancy), disability, veteran status, membership of the travelling community or any other classification protected by applicable law. #J-18808-Ljbffr

Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we’re building the most powerful, accurate and reliable quantum systems to tackle problems that today’s supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum company delivering solutions to solve the world’s most complex problems. IonQ’s newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025. The company is accelerating its technology roadmap and intends to deliver the world’s most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ’s advancements in quantum networking position the company as a leader in building the quantum internet. We’re looking for a Senior Photonics Test Engineer to join our photonics effort and own the experimental characterisation and validation of photonic devices and components that support our quantum computing platform. This is a lab-first, hands-on metrology role: you’ll design and operate optical test setups (often microscope-style systems with stages, alignment, and calibration) that generate trusted data and clear pass/fail decisions on device performance. You’ll sit close to the action; working day-to-day with photonics, device, and hardware teams. Turning real measurements into feedback that improves designs and accelerates iteration. If you like building robust measurement rigs, tightening repeatability, and making experimental data genuinely useful, this one’s for you. You’ll take ownership of testing, characterising, and validating photonic components and devices, and you’ll help raise the bar on how we design and run metrology in the lab. This role blends practical optical engineering with strong experimental discipline: selecting components, designing measurement approaches, running experiments, and turning results into clear technical direction for the wider team. Responsibilities include: • Device characterisation: Run experimental testing and characterisation of photonic devices/components using advanced optical equipment, producing clear, defensible results., • Metrology setup design: Design, assemble, validate and calibrate optical measurement setups to improve capability, throughput, and repeatability., • Data + reporting: Analyse and interpret experimental data, presenting insights to stakeholders and guiding performance optimisation., • Cross-functional collaboration: Work closely with engineers and scientists across the stack to translate measurement outcomes into next-step design and test priorities. You’ll be someone who’s genuinely happy spending most of your time in the lab, building and operating optical test rigs and treating measurement quality (calibration, repeatability, documentation) as a craft. You don’t need to be the world’s leading integrated photonics expert but you do need strong optics fundamentals, a track record in metrology / characterisation, and the ability to take a setup from “idea” to “trusted tool” that the team can rely on. Bonus points if you’ve automated acquisition/analysis pipelines and improved measurement throughput in previous roles. • Strong experience with optical metrology / component characterisation in a hands-on lab environment., • Proven ability to design, assemble and calibrate optical test equipment or microscope-style measurement setups., • Confidence with data analysis and turning results into clear technical recommendations (automation skills a plus)., • A collaborative mindset—comfortable working across teams and communicating experimental outcomes clearly. So why us? Be part of a team that’s shaping the future of quantum. We offer more than just a role, you’ll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We’re proud to be an equal opportunity employer and welcome applicants from all backgrounds. #J-18808-Ljbffr

• Algorithm implementation: Translate complex probabilistic algorithms from high-level models, such as pseudocode/Python/C++/MATLAB, into highly pipelined, resource-efficient FPGA RTL., • RTL design from scratch: Design and implement custom digital logic using VHDL where off-the-shelf vendor IPs are insufficient, bottlenecked, or introduce latency., • High-speed I/O integration: architect data acquisition pipelines interfacing with the analogue front end via ultra-fast ADCs and high-speed transceivers, as well as interfacing to high-throughput computer host architectures via PCIe and high-speed Ethernet., • System architecture: Work closely with hardware and software engineers, the research team, and ASIC architects to develop the high-level system architecture., • Verification & bring-up: Develop rigorous testbenches and simulations to ensure compliance with functional and timing requirements. Participate in lab bring-up and debugging of physical hardware., • Optimisation: Use advanced debugging tools and techniques to analyse and optimise performance, timing closure, power consumption, and resource utilisation across multiple clock domains., • Degree in Electrical Engineering, Computer Engineering, or a related field., • 5+ years of hands-on experience in FPGA digital design, including designing and debugging resource-intensive high-speed digital systems., • Expertise in HDL: Strong proficiency in HDL coding, and a proven track record of writing custom RTL from scratch., • PS/Embedded development knowledge: Practical understanding of processor-side development for FPGA SoC platforms, particularly Zynq or similar PS/PL architectures. Being comfortable writing or reviewing bare-metal C/C++ to configure PL peripherals through AXI registers, moving data between PS and PL., • Math to hardware: Proven ability to translate complex mathematical models into hardware accelerators, including bit-accurate system modelling and fixed-point arithmetic., • Digital design fundamentals: Solid understanding of advanced digital design concepts, including timing closure for highly utilised designs and clock domain crossing (CDC)., • Toolchains: Deep experience with design and verification tools such as Xilinx Vivado, Vitis, and TCL scripting., • Lab/debug skills: Familiarity with hardware debugging tools, such as JTAG debuggers, oscilloscopes, spectrum analysers, signal generators, and logic analysers, and lab bring-up of custom boards., • Synchronised FPGA interconnect network within a scalable cluster approach., • Demonstrated experience with implementing stochastic problems, optimisation algorithms, neural network, or artificial intelligence / machine learning algorithms into hardware., • Direct experience with the ASIC design flow: act as the critical bridge towards custom silicon by prototyping, emulating, and validating our probabilistic computing architectures on FPGA platforms prior to ASIC tape-out., • Experience designing highly optimised, low-latency computing architectures, such as high-frequency trading, custom digital signal processing, or high-performance computing, • It's an exciting time to work in probabilistic computing and you’ll be defining the libraries for an entirely new class of computer., • We maintain strong ties to the University of Oxford, offering a vibrant intellectual environment and access to world-leading experts., • Our technology targets critical real-world sectors, including logistics, drug discovery, and climate modeling., • We are a diverse team of passionate thinkers meeting builders. We value curiosity, transparency and a good sense of humour. Quantum Dice is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

My client, a laser communications company, is looking for an Optical Systems Engineer with both design and Assembly, Integration and Test experience. You will own optical subsystem development from requirements definition through to field testing, working closely with the Product Technical Lead and optical engineering team. This is an Oxford-based position, with the opportunity for hybrid work. • Design optical and photonic subsystems for laser communication terminals, • Define requirements and perform trade-off analysis between performance and cost, • Model and optimise optical system performance, including tolerancing, • Conduct breadboard testing to validate models, • Assemble, integrate and test subsystems, • Support system-level testing and field trials, • Act as subject matter expert for optical and photonic systems, • Manage suppliers of optical and photonic components, • Provide technical leadership on subsystem development projects, • Experience defining requirements and performing trade studies to inform design selection, • Optical design and analysis experience in Zemax or similar, covering design, optimisation and sequential tolerancing, • Hands‑on experience with lasers (CW and pulsed), detectors/receivers, modulators and fibre/free-space optics, with a solid understanding of the underlying physics and performance trade-offs, • Hands‑on lab experience designing and running tests on optical systems, • Electronics for optoelectronic systems, for example high-speed data converters, • Optical or RF communications, for example modulation, • High-power lasers, optical amplifiers and associated safety requirements, • Optical instrument calibration, alignment and procedure definition, • Adaptive optics, • Space or satellite systems knowledge #J-18808-Ljbffr

Archangel Lightworks is a laser communications company building wireless technology. Founded in 2017, we believe that laser communications to and from satellites is a key component of next‑generation infrastructure. Our core product, the TERRA‑M, is a deployable optical ground station with proven capability for space‑ground data transfer. Our team develops and operates products that advance the security and resilience of critical national infrastructure. We value compassion, resilience, curiosity, ownership and integrity. Our start‑up is a fast‑paced and supportive environment, where you can contribute to novel technology with meaningful applications like reducing the Digital Divide. Archangel Lightworks recently closed over £10 million of investment in an oversubscribed Series A funding round. Our company is also supported by the UK Space Agency, the UK’s Department of Science and Technology (DSIT) and the UK Ministry of Defence. We’re looking for an Optical Engineer with both design and Assembly Integration and Test experience to join our engineering team and deliver transformative laser communications technology. You will be responsible for the development of our optical subsystems, from requirements definition to testing in the field. In this role, you will work closely with our Product Technical Lead and optical engineering team. • Design of laser communication terminal optical/photonic sub-systems for extreme environments, • Requirement definition and trade off analysis for complex optical/photonics systems, finding the optimal balance of performance against cost, • Modelling of optical system performance, optimisation and tolerancing, • Conducting practical breadboard testing to validate modelled data, • Assembling, integrating and testing subsystems, • Supporting system level testing and trials, • Being a subject matter expert for optical and photonic systems, • Managing suppliers of optical and photonic components, • Providing technical leadership of subsystem development projects, • Experience defining requirements on optical systems, modelling and performing trades studies to inform design selection, • Optical design/analysis experience using Zemax or similar software for design, optimization and tolerancing. (Sequential, non‑sequential desirable), • Hands‑on experience with photonic components and systems, including lasers (CW and pulsed), optical detectors/receivers, modulators, and fibre/ free‑space optics, with a solid understanding of underlying physical principles and performance trade‑offs, • Hands‑on lab experience designing and carrying out tests for relevant optical systems, • Experience with electronics for optoelectronic systems, including analogue front‑ends, high‑speed data converters, embedded/FPGAs, and power/EMI/thermal considerations, • Experience with optical or RF communication systems, including modulation schemes, error correction, FPGA/SDR modem implementation, and relevant protocols (e.g. CCSDS, SpaceWire, Ethernet), • Experience with high power lasers, optical amplifiers, and relevant safety requirements, • Experience with optical instrument calibration and alignment, and procedure definition, • Knowledge of adaptive optics, • Knowledge of space/satellite systems Our office is based in Osney Mead, Oxford. There may be opportunity to work from home as agreed with your line manager. There may be opportunity for periodic business travel. • Opportunity to work on advanced optical systems to support a world‑changing vision, • A collaborative and transparent culture with strong links between functions, • Regular socials and weekly company lunch, • Professional development and skills growth within a specialist engineering field, • Competitive salary and benefits package, with equity options in a growing start‑up, • 25 days annual leave allowance plus bank holidays Archangel Lightworks is an equal opportunity employer. As part of our commitment to equality, we work to ensure a fair and consistent interview process. If you need any assistance or accommodation to complete your application or assessment, please contact us through the application form. We recognise that many candidates use AI tools when applying. Please ensure your application reflects your own experience, skills, and thinking. We assess applications based on authenticity and accuracy, so anything generated with AI should be reviewed, personalised, and representative of you. #J-18808-Ljbffr

At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You'll work side-by-side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned-controlled, well-structured, and ready for ML. You will help scientists turn raw information from various sources into high-quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands-on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. Day-to-Day, You Might: • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain-specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science - reproducibility, version-control, schema design, lineage, single-source of truth., • You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end-to-end ownership from low-level performance to user interfaces., • Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: Experience preparing data for ML: pre-training, post-training, and evaluations. Scientific background, with experience or qualifications in genomics, proteomics, or other related fields. Experience in bioinformatics and use of industry-standard tooling such as NextFlow., • At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology; Food Security & Sustainable Agriculture; Climate Change & Managing CO; Artificial Intelligence & Robotics. This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org., • Scientific Compute and Data Team The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more., • We offer the following benefits: Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • Working together - what it involves: 2 days per week in Oxford office, 1 day per week in employee's choice of Oxford or London office, 2 days per week work from any UK location., • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. #J-18808-Ljbffr

Contract: 18-month fixed-term contract from signing (running to at least January 2028), with a view to extending or moving to permanent as a second round of programme funding is confirmed. Location: Oxford, hybrid preferred, though we'd consider fully remote for the right person. Oxfida (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published. Our work spans AI for insurance underwriting and claims, AI risk governance, privacy-preserving technologies for agentic AI, and quantum optimisation, alongside partnership projects on nature and supply chains and the emerging challenges nobody's solved yet. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. Trusted AI. Built in Oxford. You'd join a small, technically strong engineering team, led by an experienced Technical Lead, building the infrastructure that CODAS runs on: secure cloud infrastructure, ML model serving and training pipelines, and agentic development tooling. This is a hands-on infrastructure and platform role with genuine room to grow into more senior technical responsibility as the programme scales. We're not expecting you to already have deep experience across every part of this stack. We're looking for a strong engineer with solid fundamentals, who picks up new tools fast and cares about building things that work reliably and responsibly. • Help design, build, and run the cloud infrastructure behind a privacy-preserving AI research programme, working under the Technical Lead., • Build model hosting and training infrastructure, secure data storage, and agentic development tooling that the research tracks depend on., • Write clean, well-tested, maintainable code, and contribute to shared engineering standards, CI/CD, and documentation., • Support integration with partner environments and research workflows, troubleshooting issues as they come up., • Get stuck into technical trade-offs, ask good questions, and learn fast as tools and requirements evolve., • 5+ years of commercial software experience, with a track record of shipping maintainable code in a team., • Solid Python, including the core data/ML libraries (pandas, numpy, scikit-learn) and good instincts on structure, testing, and packaging., • Practical cloud infrastructure experience, including deploying services, managing storage, and working with access controls. AWS preferred, but strong experience with another provider counts., • Familiarity with Kubernetes and Helm, and comfort with CI/CD, version control, and containerisation as everyday tools., • Some exposure to ML infrastructure or data engineering, such as training pipelines, model serving, experiment tracking, or data pipelines., • The ability to explain what you've built, why, and what trade-offs you made. Bonus points: LLM serving/fine-tuning (even personal projects), agentic AI frameworks (LangGraph, AutoGen, CrewAI), Kubeflow/KServe, GitOps/IaC (Flux, Terraform), or an interest in privacy-preserving techniques. • A genuinely hands-on infrastructure role on a high-profile sovereign AI programme, not a ticket queue., • Room to grow: the stack isn't fully fixed, so there's real scope to shape it and grow your seniority alongside the programme., • Work directly with Oxford’s research network and an ambitious international partner group, not several layers removed from the interesting problems., • This is a fixed‑term contract tied to CODAS’s current funding cycle, but there's a genuine intent to extend and move roles to permanent as a second funding round is confirmed. It isn't a contract designed to end #J-18808-Ljbffr

Join us at EIT: At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: • Improved plant productivity, both indoors and outside., • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant-based production platforms for food and medicines., • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. Your Role: EIT is seeking a highly motivated and skilled Scientist or Senior Scientist in Plant Metabolic Engineering to join its pioneering Plant Biology Institute. The successful candidate will lead the development of innovative metabolic engineering and synthetic biology approaches to manipulate plant cellular conditions. Specifically, the candidate will design, implement and characterise engineering strategies to optimise plant respiratory activity, energy status, and redox balance. These engineering approaches will be first evaluated and optimised in plant cell cultures guided by iterative design–build–test–learn cycles before being translated into whole plants for improving productivity. The scientist will be expected to contribute to IP generation and play an active role in translating research into real-world and commercial solutions aligned with EIT’s mission of humane technological advancement. This role offers a unique opportunity to conduct high-impact research at the forefront of plant science while collaborating across multidisciplinary teams to drive innovation from lab to global impact. Your Responsibilities: • Design, implement and characterise engineering strategies to manipulate plant respiratory activity, energy status, and redox balance, • Develop and apply methods to quantify cellular respiratory activity, energy status, redox balance and other relevant metabolic responses in plant cells and tissues, • Lead experiments in plant cell cultures and whole plants, ensuring that findings are effectively translated between the two experimental systems, • Lead phenotyping of engineered cell cultures and plant lines using physiological, biochemical, imaging and multi-omics approaches (e.g., transcriptomics, metabolomics and proteomics), • Apply iterative design–build–test–learn cycles to develop and refine engineering strategies, • Advance promising engineering strategies into whole plants for functional validation, • Drive rigorous experimental design, execution, and data interpretations, ensuring robust and reproducible scientific outcomes, • Deliver research progress through stage gated milestones, • Collaborate with cross-functional teams to incorporate cutting edge research techniques into experiments, • Present scientific work at seminars within EIT and at external meetings, including contributing to discussions on developments within the field, • Assist in mentoring other members of the research group where appropriate, • Assist in the translation of scientific results into commercial opportunities consistent with the EIT humane endeavours, • Recognise and act on opportunities for the creation of IP and cooperating in patent protection and in impact delivery, • Conduct research ethically, in compliance with EIT policy, regulatory guidance, and best scientific practice Essential Skills, Qualifications & Experience: • PhD in Plant Biology, Synthetic Biology, Metabolic Engineering, Biochemistry, Molecular Biology or a related discipline, • Strong research background with expertise in one or more areas relevant to the role. Indicative examples include: o Demonstrated experience in plant metabolic engineering and synthetic biology o Demonstrated experience in the targeted manipulation of cellular processes o Demonstrated experience developing or applying methods to measure respiration, energy status, redox balance and/or other related metabolic parameters o Demonstrated experience of transient and stable genetic engineering in plant cell cultures, tissues and/or whole plants Desirable Skills, Qualifications & Experience: • Experience with advanced microscopy analysis and imaging of plant cells or tissues using light, fluorescence, and confocal microscopy techniques, • Experience with plant gas-exchange, • Experience generating and preparing biological samples for transcriptomic, metabolomic and proteomic analyses., • Experience with laboratory automation, robotics and high-throughput experimental workflows, • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Artificial Intelligence & Robotics At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. EIT is seeking a Cloud Platform Engineer with demonstrable experience to design, build and operate a secure, scalable and highly available Oracle Cloud Infrastructure (OCI) platform supporting enterprise applications, scientific research and AI workloads. Working closely with Infrastructure, Cyber Security and Software Engineering teams, you will deliver modern cloud services using Infrastructure as Code, automation and cloud-native best practices. • Design, build, automate and operate secure, scalable, highly available OCI platform services and workloads., • Manage OCI networking, compute, storage, identity, DNS, load balancing, object storage, monitoring and logging., • Develop and maintain Infrastructure as Code using Terraform, with Git-based CI/CD, • Implement cloud security controls, IAM roles and policies, network segmentation, secrets management, vulnerability remediation and audit requirements., • Establish platform monitoring, alerting, logging, capacity management, backup, disaster recovery and incident-response procedures., • Manage patching, upgrades, lifecycle management and service reliability for cloud workloads., • Support application, research and AI teams with reusable cloud patterns, self-service capabilities and technical guidance., • Optimise OCI consumption, performance and cost, working with stakeholders on forecasting and governance., • Maintain architecture documentation, standards, runbooks and operational procedures., • Hands-on experience with Oracle Cloud Infrastructure (OCI) or another major public cloud platform, • Experience designing and supporting secure, scalable cloud infrastructure, • Experience using Terraform and Infrastructure as Code, • Knowledge of cloud networking, IAM, security, monitoring and backup, • Experience with Git and CI/CD pipelines, • Linux administration experience, • Scripting skills in Bash, PowerShell or Python, • Strong troubleshooting, documentation and communication skills, • OCI certifications, such as Oracle Cloud Infrastructure Architect Associate or Professional, • Experience with Oracle Kubernetes Engine (OKE), Docker and Kubernetes, • Experience supporting AI, data, research or high-performance computing workloads, • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • You must have the right to work permanently in the UK with a willingness to travel as necessary., • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate), • During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. #J-18808-Ljbffr

We are seeking to recruit three Senior Machine Learning Engineers to join our team on fixed term contracts until the end of 2027 with a view to be made permanent for the right candidates. These are hybrid roles, offering a combination of at home and on‑site working. We’re Aioi R&D Lab – an AI tech hub in one of the fastest‑growing insurance companies. We research and develop AI systems that catapult insurance from a slow‑moving, traditional past into a data‑driven, technology‑lead and society‑defining future. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class credentials and a proactive attitude to help us drive the change that underpins our mission. As a Senior Machine Learning Engineer, you will support the development of a privacy‑preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment principles. Working within a multidisciplinary and multi‑partner environment, the postholder will help translate research and technical concepts into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you. • Design, develop, test and maintain machine learning and AI software in support of the CODAS project and related R&D Lab initiatives., • Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‑ready applications., • Support the translation of research outputs into robust, maintainable and operationally viable systems., • Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities., • Help adapt AI and ML approaches to privacy‑sensitive, security‑conscious and regulated deployment contexts., • Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments., • Troubleshoot technical, data and integration issues arising during development and deployment., • Support the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab., • Communicate technical trade‑offs, risks and progress clearly to both technical and non‑technical stakeholders., • Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience., • 5+ year work experience in relevant field., • Strong software engineering capability in Python, including writing clean, maintainable, well‑tested and well‑documented code., • Experience developing and deploying machine learning, AI or data‑driven systems in production or near‑production settings., • Experience with generative AI systems, LLM‑enabled applications or evaluation pipelines., • Experience with cloud platforms, MLOps tooling, model serving or platform engineering., • Advanced use of Linux, Docker, version control, CI/CD and service‑oriented deployment practices., • Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation., • Experience with data pipelines, APIs, system integration or user‑facing AI applications., • Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders., • Strong communication skills, including the ability to explain technical issues and trade‑offs clearly to non‑specialists., • Experience with privacy‑preserving, secure or compliance‑sensitive technical environments., • Experience working in multi‑partner programmes involving industry, government or academia., • Experience in regulated industries such as insurance, financial services, public sector or national‑scale infrastructure contexts., • Familiarity with agentic systems design, MCP/A2A protocols, or inference‑time privacy controls., • Familiarity innovating with agentic‑driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude‑Code, CoPilot, etc. We’re committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND‑E: • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards., • Unmatched Work‑Life Balance, • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise., • Health and Wellbeing Benefits – Including money back on health‑related expenses (optician, dental, physio, etc.), flu jab vouchers, virtual GP service, employee assistance programme and enhanced family‑friendly policies (baby bonus & pension advisory service)., • Financial and Lifestyle Support – Offers financial flexibility through Wagestream, annual season ticket loans, cycle scheme and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

The Ellison Institute of Technology (EIT) is building the next generation of AI-driven, autonomous laboratories where experimental science, robotics, and machine learning integrate to design, execute, and optimise experiments dynamically. A critical purpose of our Autonomous Labs (AutoLabs) programme is to generate self driving workflows, particularly in workflows and deployment environments without automation scientists readily available. We are seeking a highly capable, hands-on Senior Automation Laboratory Scientist to play a central role in this transformation. • Execute, optimise and design wet-lab workflows, • Translate scientific objectives into structured, reproducible, automation-ready protocols, • Read scientific literature and independently attempt, execute and troubleshoot protocols found in the literature in the wet lab, • Operate and support laboratory automation platforms, including liquid handling systems, • Lead the design, development, and deployment of a deployable automation platform, increasing robustness and reliability and enabling use by lab techs and scientists without a lab automation scientist in the loop, • Collaborate closely with automation engineers, AI researchers, and interdisciplinary scientific teams, • Maintain rigorous documentation, quality control, and biosafety compliance standards, • A PhD in a STEM discipline or equivalent industry experience, • Strong hands-on experience from a wet-lab environment, with a genuine desire to do hands-on work at the bench, • Demonstrated ability to independently execute and troubleshoot laboratory workflows, • Experience translating experimental goals into structured, reproducible protocols, • High attention to detail and commitment to experimental quality, • Scientific curiosity that is open to any area of science (beyond just biology), • A can-do, build-it-yourself attitude and comfort working in a fast-evolving, technology-driven laboratory environment, • Operating automated laboratory systems (e.g., liquid handlers; experience with Hamilton and OpenTrons is particularly useful), • Strong familiarity and hands-on experience with molecular biology workflows, particularly sequencing and antimicrobial resistance testing, • Familiarity with structured data capture, • Exposure to programming (e.g., Python) and machine learning concepts, • Team lead experience You must be able to commute to Oxford 5 days a week for this role. Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme -- At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Within this ecosystem, the Pathogen Mission exemplifies EIT’s commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample-to-answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.’s cloud-computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. We’re seeking an experienced and innovative Senior MEMS Development Engineer to develop novel microfabricated devices and sensor interfaces for next-generation nanopore sequencing technologies. This hands-on role will focus on designing, prototyping, and characterising MEMS devices, taking concepts from proof-of-concept through to integrated multi-channel sensing systems. Working closely with a Senior Electronics R&D Engineer, you’ll drive device development through iterative design, testing, and optimisation. You’ll tackle challenges spanning microfabrication, materials, device architecture, and MEMS‑electronics integration while collaborating with external fabrication partners and technical suppliers. As the programme grows, you’ll help establish the MEMS engineering capabilities, processes, and technical foundations needed to support a wider multidisciplinary team. • Take technical ownership of the MEMS engineering development of novel microfabricated sensing structures and device interfaces, from early concepts through to functional prototypes and integrated systems., • Design and develop microfabricated devices and test structures, including the selection of materials, fabrication processes and device geometries., • Develop and evaluate fabrication approaches using established semiconductor and MEMS manufacturing techniques, adapting processes to meet the requirements of novel sensing devices., • Work closely with the Senior Electrical R&D Engineer to co-develop and evaluate prototype devices, using experimental findings to guide iterative improvements in MEMS design and electronic integration., • Design and characterise mechanical, electrical and material interfaces, investigating their influence on device performance, reliability and repeatability., • Develop experimental methods and test structures to assess fabrication quality, dimensional accuracy, device performance and reliability., • Investigate the effects of materials, surface properties, fabrication tolerances and assembly processes on device behaviour and performance., • Collaborate with electrical and mechanical engineers to develop prototype assemblies, alignment methods and experimental test platforms., • Identify and resolve fabrication challenges through design iteration, experimental characterisation and failure analysis., • Develop increasingly sophisticated prototype devices as the project progresses, supporting the transition from initial feasibility studies to integrated nanopore sensing systems., • Identify and engage specialist external fabrication facilities, engineering suppliers and technical collaborators to support the development and manufacture of prototype components and devices., • Define technical specifications and fabrication requirements for external suppliers, including design documentation, material requirements, dimensional tolerances and performance criteria., • Coordinate technical activities with external suppliers and collaborators, reviewing fabrication approaches, monitoring progress and evaluating deliverables against agreed requirements., • Plan and execute structured experiments, analyse performance data and translate findings into engineering requirements and design improvements., • Contribute to the selection and development of fabrication methods, considering manufacturability, scalability, cost and process reliability., • Maintain clear technical documentation, design records and experimental results, contributing to intellectual property development and technical reviews while ensuring appropriate confidentiality., • Provide technical guidance and mentoring as the engineering team expands, helping establish robust engineering practices and development processes. We welcome applicants from industry, applied research and academia who can demonstrate strong technical expertise and practical engineering capability. • Degree in Electrical Engineering, Mechanical Engineering, Materials Science, Physics or a related discipline, or equivalent relevant experience., • Significant experience in MEMS engineering, semiconductor microfabrication or microdevice development, ideally involving novel sensors, electronic interfaces or precision microfabricated systems., • Strong understanding of MEMS design principles, materials selection and microfabrication techniques., • Experience designing microfabricated devices using CAD tools, including the preparation of layouts, fabrication drawings or photolithography mask designs., • Practical knowledge of semiconductor and MEMS manufacturing processes, such as photolithography, thin-film deposition, etching, surface treatment and metallisation., • Experience developing and characterising prototype devices, including dimensional, mechanical and electrical evaluation., • Ability to understand and resolve fabrication challenges through experimental investigation, design modification and process optimisation., • Knowledge of material properties, fabrication tolerances and their influence on device functionality and reliability., • Experience planning and executing structured experimental programmes to characterise complex devices and resolve technical challenges., • Ability to work independently, establish technical approaches and deliver functional prototypes in an early-stage R&D environment., • Experience collaborating with multidisciplinary teams and translating requirements between MEMS, electronics, mechanical engineering and device fabrication., • Ability to develop clear technical specifications and work effectively with external fabrication facilities, engineering suppliers or development partners., • Experience developing MEMS or microfabricated devices for biosensing, electrochemical sensing, nanopore technologies or other sensor applications., • Knowledge of silicon micromachining, wafer processing and microelectronic device fabrication., • Experience with microfabricated electrodes, conductive thin films, dielectric materials or electronic sensor interfaces., • Familiarity with microelectronic packaging, device assembly, bonding and integration of MEMS with electronic systems., • Experience with polymeric materials, elastomeric components or other compliant materials used in microsystems., • Knowledge of mechanical contact behaviour, surface interactions, material deformation and reliability testing at small length scales., • Experience with optical microscopy, electron microscopy, profilometry, surface analysis or other microdevice characterisation techniques., • Experience designing devices that incorporate fluidic, electrochemical or biological components., • Familiarity with finite element analysis or other simulation methods for mechanical, thermal or material behaviour., • Experience working with external MEMS foundries, academic cleanroom facilities or specialist microfabrication suppliers., • Knowledge of fabrication process development, process yield improvement and quality control., • Understanding of design for manufacture, engineering reliability and transitioning prototype devices towards scalable production., • Hands-on and inventive: Enjoys solving technical challenges through practical engineering, experimentation and rapid prototyping., • Comfortable with early-stage R&D: Able to work effectively where solutions are not yet established and technical requirements evolve through experimentation., • Analytical and systematic: Uses sound engineering judgement and quantitative evidence to understand complex behaviour and guide design decisions., • Collaborative: Works closely with specialists in electronics, mechanical engineering, chemistry and MEMS fabrication, as well as external technical partners, to develop integrated solutions., • Independent and proactive: Can establish experimental capabilities, identify priorities and progress technical work with limited existing infrastructure., • Technically ambitious: Motivated by challenging engineering problems and developing technologies with the potential for substantial real-world impact., • Clear communicator: Able to explain complex technical challenges, document findings and communicate requirements effectively with colleagues, suppliers and external collaborators., • Salary: Competitive + travel allowance + bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis., • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate)., • You must be eligible to work in the UK with occasional travel (1-3 trips per year). #J-18808-Ljbffr

IonQ, Inc (2F&esheet=54451094&newsitemid=20260316477473&lan=en-US&anchor=IonQ%2C+Inc&index=7&md5=0818ffbedc6dbad8c4d1611ac94c2a0f). [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting‑edge systems that have been helping customers and partners including Amazon Web Services, 2Fnews%2Fionq-speeds-quantum-accelerated-drug-development-application-with&esheet=54451094&newsitemid=20260316477473&lan=en-US&anchor=Amazon+Web+Services%2C&index=8&md5=a7f94ee9b71a392dca3cd6c413722e51)and 2Fnews%2Fionq-speeds-quantum-accelerated-drug-development-application-with&esheet=54451094&newsitemid=20260316477473&lan=en-US&anchor=and&index=9&md5=2bed627b388878763f41ffe0e4edb16c)AstraZeneca 2Fnews%2Fionq-speeds-quantum-accelerated-drug-development-application-with&esheet=54451094&newsitemid=20260316477473&lan=en-US&anchor=AstraZeneca&index=10&md5=757c1f2c2ec94cf3982700106122164f) achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two‑qubit gate fidelity, setting a world record in quantum computing performance 2Fnews%2Fionq-achieves-landmark-result-setting-new-world-record-in-quantum-computing&esheet=54451094&newsitemid=20260316477473&lan=en-US&anchor=setting+a+world+record+in+quantum+computing+performance&index=11&md5=32e9cb88afbd439026a352666cc72c91). Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. We are looking for an Electronics Engineering Manager to lead the electronics function within our Systems team at IonQ. You will lead a team of three electronics engineers and grow it as our programmes scale. The team designs, builds and tests the electronics subsystems behind our mission to build the most performant quantum computers. This is a player‑coach role, with roughly 60% of your time spent leading the team and 40% on hands‑on design work. You will set the technical direction for our electronics deliverables and build a team that can deliver them reliably, from experimental prototypes to rack‑ready production systems. You will own the electronics roadmap for current and next‑generation quantum systems. That covers schematic capture and PCB layout through to board and system‑level test, and the drive architecture for QPU designs. You will balance hands‑on technical leadership with people management, planning and coordination across teams. As the main electronics contact for the physics, firmware, mechanical and systems teams, you will turn complex physical requirements into clear, achievable engineering plans, and you will keep improving the tooling, workflow and capability of the team.Key responsibilities include: • Team leadership: Lead and develop a team of three electronics engineers and play a key role in growing it through hiring. Set clear goals, run regular 1:1s and performance reviews, and build a culture of technical excellence and accountability., • Technical direction: Own the architecture of the electronics subsystems, including mixed‑signal design, high‑speed digital and signal integrity. Approve key design decisions and lead design reviews., • Delivery and planning: Plan, prioritise and track electronics workstreams against programme milestones, managing resourcing, schedules, risks and dependencies, and report progress to stakeholders., • Quality and process: Set and improve design standards, review processes, verification and test strategy (simulation, bench test, system integration) and documentation practices., • Productisation: Lead the move from experimental prototypes to robust, manufacturable, rack‑ready production systems, working with suppliers and contract manufacturers as needed. To succeed, you will need around ten years of experience in electronics design, with a strong background in high‑speed and mixed‑signal electronics, proven experience leading engineers and a track record of taking hardware from concept through prototype to production on schedule. You should be able to give credible technical guidance while growing the team around you, and bring a high level of attention to detail to your own work and to the designs you review. You will be comfortable in a fast‑moving, highly technical environment and know when to use waterfall or agile delivery in a hardware setting. Experience with Jira and Smartsheet, exposure to cryogenic environments, RF/microwave engineering (up to 500 MHz) or Python‑based test automation, and familiarity with the Sinara/ARTIQ ecosystem in a quantum or physics research setting would all be an advantage. • Engineering leadership experience: A track record of managing or technically leading electronics engineers, including hiring, mentoring and performance management., • Strong hardware design background: Hands‑on experience with mixed‑signal and high‑speed digital design, SPICE modelling and lab verification (oscilloscopes, spectrum analysers)., • Altium expertise: Experience with complex schematics, rigid‑flex designs and advanced signal‑integrity constraints, and the ability to review and guide others' designs., • FPGA and high‑performance hardware: Familiarity with Xilinx/Intel toolchains (Vivado/Quartus) and carriers such as the BittWare XUP series or Sinara/ARTIQ hardware., • High‑speed interfaces: Knowledge of SFP+/QSFP-DD interfaces, 10/100G Ethernet and high‑speed differential pair routing. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export‑controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking an experienced Data Engineer to join our Scientific Compute and Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments. Our labs produce raw data for a fast-growing set of models: vision-language-action models, orchestration and monitoring models, and world models that learn the dynamics of a laboratory to simulate experiments before they are run. As a Data Engineer, you’ll work directly alongside AI researchers, software engineers, robotics engineers, and domain scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. • Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state and instrument control signals, integrating validation at the edge before data reaches the cloud., • Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines., • Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out., • Build the knowledge graph on top of that, linking inputs to results, so that a fact can always be traced back to the video segment and sensor readings behind it., • Make the output model-ready: the formats, sampling, labelling and provenance that training and evaluation need, working directly with the researchers who consume it.Nobody checks every box - if you’re not sure if you’re qualified, we still encourage you to apply., • You have strong programming experience in Python, and value code quality, reliability, and performance while adapting to an evolving industry., • You think in systems and own them end-to-end - from device output to APIs - and embrace long-term engineering rather than one-off scripts., • Experience with real-time data streaming - Kafka or Pub/Sub (or equivalent), and the challenges that come with high-frequency, low-latency data capture., • You treat reproducibility, version control, schema design and lineage as the things that make good science possible., • A clear, respectful communicator who can collaborate with scientists, roboticists and researchers., • Automated lab or life sciences environments - instrument APIs, lab protocols, and what scientists expect of data quality., • Data pipelines for physical systems: robotics (e.g. MQTT), autonomous vehicles, lab or clinical instruments, industrial control, or similar environments., • Knowledge, entity, search or feed systems where correctness under continuous update was the hard part., • Stateful stream processing (Flink, Kafka Streams, Beam or similar): event time, watermarks, exactly-once., • APIs for data ingestion and consumption with FastAPI, gRPC or GraphQL., • Graph stores and entity resolution or curation at scale, where the interesting decisions are about what to keep, merge or drop., • Experience working close to model development, such as curating training or evaluation data, or building the data systems that feed models. You don’t need to be a machine learning engineer, but you should know what makes a dataset good., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands‑on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You’ll work side‑by‑side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned‑controlled, well‑structured, and ready for ML. You will help scientists turn raw information from various sources into high‑quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands‑on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain‑specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Nobody checks every box - if you are excited about this role and think you could contribute, we encourage you to apply. • You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science – reproducibility, version‑control, schema design, lineage, single‑source of truth., • You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end‑to‑end ownership from low‑level performance to user interfaces. Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: • Experience preparing data for ML: pre‑training, post‑training, and evaluations., • Scientific background, with experience or qualifications in genomics, proteomics, or other related fields., • Experience in bioinformatics and use of industry-standard tooling such as NextFlow., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis. #J-18808-Ljbffr

Oxford University Hospitals NHS Foundation Trust seeks an experienced clinician to lead adult care for heart rhythm disorders. You will manage EP lab lists, support ablation and device services, and contribute to MDT discussions and research within the unit. Role includes teaching junior staff and involvement in clinics, with a commitment to delivering high-quality patient care in a large NHS teaching trust. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands‑on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You’ll work side‑by‑side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned‑controlled, well‑structured, and ready for ML. You will help scientists turn raw information from various sources into high‑quality resources, ensuring our technical foundations support the next generation of discovery. This is a hands‑on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups. • Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines., • Own ingestion, storage, curation, and transformation of diverse biological datasets and formats, such as structured/tabular data, unstructured text, high I/O formats like LMDB/Arrow/HDF5, or domain‑specific formats such as fastq/fasta and cif., • Package and deploy code in research environments using containers (e.g. Docker)., • Scale processing across distributed cloud warehouses/storage via container orchestration (e.g. Kubernetes), High-Performance GPU Compute (e.g. Slurm), or distributed compute frameworks (e.g. Spark, Ray)., • Contribute to an engineering culture that values maintainability, testing, robust system design, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes. Nobody checks every box - if you are excited about this role and think you could contribute, we encourage you to apply. • You have strong programming experience in Python, and value code quality, reliability, and readability as much as performance., • You have a deep understanding of data storage and manipulation: relational systems, sharding and parallelisation, indexing, scalability., • You have experience working on cloud compute platforms and varied Linux environments., • You have worked at scale, especially on distributed/parallelised data systems., • You promote good Data Engineering and Data Management practices as a means of enabling good science – reproducibility, version‑control, schema design, lineage, single‑source of truth., • You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end‑to‑end ownership from low‑level performance to user interfaces. Our Forward Deployed Engineers will have the opportunity to work on diverse projects, and to expand their skillset, but will add particular value when they can match their data engineering expertise with domain knowledge relevant to a project. We would value: • Experience preparing data for ML: pre‑training, post‑training, and evaluations., • Scientific background, with experience or qualifications in genomics, proteomics, or other related fields., • Experience in bioinformatics and use of industry-standard tooling such as NextFlow., • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services, • 2 days per week in Oxford office, 1 day per week in employee’s choice of Oxford or London office, 2 days per week work from any UK location., • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case‑by‑case basis. #J-18808-Ljbffr

This role sits at the centre of how Salience Labs takes our photonic switching technology from prototype to reliable deployment in AI networks. You will define, build and operate our system test capability, covering complex opto-electronic setups, automation and structured test execution. We need someone with a clear, organised and outcome driven approach, able to design test strategies from first principles and communicate progress with data led clarity. Success requires strong technical depth, solid operational discipline and the ability to work quickly and precisely in a lab environment. You will shape how we validate our switching hardware, ensure test readiness at each milestone and remove bottlenecks through smart automation and process improvement. Help design and implement the system level test strategy for Salience's photonic switching platform, covering test planning, setup definition, execution and reporting. Build and maintain complex optical and electronic measurement setups with strong attention to stability, repeatability and safety. Automate test sequences and data capture pipelines to minimise manual overhead and accelerate learning cycles. Develop and communicate a clear view of test readiness, critical paths and parallelisable work. Create plans, timelines and prioritisation frameworks that reflect real engineering constraints. Optimise existing test processes by identifying wasted effort, anticipating failure modes and preparing setups ahead of hardware arrivals. Collaborate closely with Photonics, Electronics, Firmware and Product teams to ensure test outputs align with system level performance requirements for high bandwidth, low latency switching. Drive a culture of disciplined execution with a clear understanding of the commercial end goal. Help shape and lead the function with competence, judgement and reliability, even before any formal line management is introduced. Strong experience working hands on in lab environments involving complex optical, photonic or mixed signal electronic setups. Demonstrable ability to build, debug and optimise measurement systems, and automate test workflows. Comfortable operating in environments where test coverage, data quality and repeatability underpin every decision. Ability to plan rigorously, track progress, think in parallel and flag risks early. A background that may include photonics, optics, MEMS, mixed signal electronics, semiconductor test or high-speed transceiver validation. Experience with automated test frameworks, scripting for test automation and data analysis tooling. Fluency in Python (NumPy) and familiarity with VISA/SCPI protocols is essential. Strong organisational capability, able to set expectations, anticipate bottlenecks and maintain momentum across multiple teams. Based in the UK or willing to relocate, with consistent presence required in the Oxford lab. Have experience scaling system test infrastructure for high performance communication or switching hardware. Are comfortable developing automated analysis pipelines to support data led decision making. Have previously led or mentored test or validation teams. Bring understanding of reliability, environmental or system level testing for optical or networking hardware. Possess a practical commercial mindset, able to balance speed, risk and technical depth. If you are looking for an opportunity to shape the core test capability of a deep tech company redefining photonic switching for AI infrastructure, we would be glad to speak with you. This role suits someone who enjoys turning complex hardware behaviour into clear signals, structured plans and meaningful progress. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40,000 m² of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavours. The Rehm Lab We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Rehm Lab at GBI. The Rehm Lab, led by Principal Investigator Fabian Rehm, is building next-generation platforms for continuous evolution. We engineer orthogonal replication systems that drive rapid, targeted gene evolution while preserving host viability, enabling us to study fundamental evolutionary processes and develop new molecular solutions for problems in the areas of health and sustainability. We are growing a diverse, ambitious team excited by the idea of harnessing evolution as an engine for discovery and innovation. Key projects include: • Engineering dynamic, autonomous evolution systems to rapidly traverse evolutionary landscapes, • Evolution of complex, multi-gene phenotypes, • Engineering plug-and-play selection systems for continuous evolution of diverse phenotypes Learn more at How to apply Applications will be reviewed on a rolling basis. In your cover letter, please clearly explain your fit, interest, and relevant experience for joining the group. All applications must be submitted exclusively though the EIT job portal. If you would like to discuss this role in more detail, prior to submitting an application, please contact Fabian Rehm at . Due to the volume of applications, the review and decision process may take 3–6 months. Key Responsibilities: • Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications., • Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals., • Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions., • Prepare and publish high-quality scientific papers, reports, presentations, and protocols., • Present research at national and international conferences, seminars, and internal meetings., • Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams., • Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies., • Mentor and support junior researchers, including PhD students and research assistants., • Translate research findings into commercial or translational opportunities in alignment with EIT’s mission., • Identify and pursue opportunities for intellectual property generation and protection., • Ensure research activities comply with EIT’s policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience: • Completed a PhD in a relevant field (e.g. synthetic biology, biochemistry, molecular biology, microbiology, and nucleic acids chemistry)., • Track record of delivering ambitious research projects to a high standard., • Strong track record in research, ideally in molecular biology, synthetic biology, or related fields., • Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable., • Proven ability to work independently, think creatively, and solve complex experimental problems., • Experience publishing in high-impact journals and presenting at international conferences., • Excellent organisational skills with the ability to manage multiple concurrent projects., • Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams., • Capacity to build and sustain productive collaborations internally and externally., • Resilience, adaptability, and enthusiasm for working in a fast-paced, high-growth research environment. Our Benefits: • Salary: Competitive + travel allowance + bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme Working Together – What It Involves: • You must be eligible to work in the UK with a willingness to travel as necessary. We are open to sponsoring employment visas for this role; however sponsorship is not available for all visa types or in all circumstances. Eligibility will be assessed on a case-by-case basis., • You must be based in, or within easy commuting distance of Oxford (or be willing to relocate)., • During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme., • This is a fixed term contract role #J-18808-Ljbffr

Oxfida (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published. Our work spans AI for insurance underwriting and claims, AI risk governance, privacy-preserving technologies for agentic AI, and quantum optimisation, alongside partnership projects on nature and supply chains and the emerging challenges nobody's solved yet. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. Trusted AI. Built in Oxford. CODAS is our multi-year sovereign AI research and development programme, bringing together specialist teams and external partners to advance privacy preserving AI, secure AI platforms and new commercial applications. We're looking for dynamic, driven professionals to help us deliver this ambitious programme. You'll need strong credentials, a proactive approach and the confidence to bring clarity and momentum to complex, evolving work. As the CODAS Project Manager, you will coordinate the day to day delivery of the programme across its four interconnected tracks. Working closely with the Programme Director, Track Leads, technical and research specialists, and programme support functions, you will bring structure, pace and discipline to delivery. You will help maintain the integrated programme plan, coordinate milestones and dependencies, manage programme track risks and actions, and ensure stakeholders have a clear and reliable view of progress. • The day to day delivery of CODAS is coordinated effectively across four interconnected tracks, with agreed programme outcomes, milestones and deliverables translated into clear plans and managed effectively through to completion., • The integrated programme plan brings together track level milestones, deliverables, dependencies, resource requirements and target dates in one reliable view., • Programme risks, issues, assumptions and dependencies are identified, managed and escalated promptly through the programme RAID log., • Stakeholders across technical, research, commercial and operational audiences have a clear and reliable view of delivery progress through regular communications and reporting., • Programme governance and change control, owned by the Programme Manager, are supported through track-level coordination and delivery input, enabling effective decision-making by the Programme Director and the Programme Steering Committee., • Cross track dependencies and blockers are coordinated, with clear actions, owners and resolution dates, and material concerns escalated promptly., • 3+ years' experience managing complex technical projects or programmes, ideally within a technology, data, AI or research and development environment., • Proven experience managing delivery end to end, including mobilisation, planning, execution, governance, change control, and delivery reviews., • Experience developing and maintaining integrated delivery plans across multiple workstreams, including milestones, dependencies, resources and delivery forecasts., • Experience managing timelines, budgets, resource requirements, RAID logs, actions, decisions and stakeholder communications., • Comfortable working across both defined contractual deliverables and more exploratory research or innovation activity where plans may evolve as the work progresses., • Experience coordinating delivery across cross functional teams, working closely with technical leads, researchers, programme leadership and specialist functions such as Finance, Legal, Data Protection and Operations., • Experience establishing and supporting effective programme governance, including delivery reviews, senior reporting and steering forums., • Excellent stakeholder management skills, with the confidence to communicate clearly with senior internal stakeholders, technical teams, researchers and external programme partners., • Able to coordinate and influence delivery without direct line management authority, constructively challenging progress and escalating concerns when required., • Experience delivering projects or programmes within insurance, financial services or another regulated industry., • Experience working on publicly funded, grant funded, consortium or multi partner programmes with formal reporting, governance or evidence requirements., • Experience delivering AI, machine learning, data platform, privacy, cyber security or other research and development initiatives., • Familiarity with formal programme reporting and assurance requirements, particularly where delivery progress must align with financial, contractual or audit evidence., • Experience contributing to or developing project management processes, templates, playbooks and knowledge management systems, such as Confluence based resources., • Experience using collaborative planning and delivery tools such as Confluence, Jira, Productive, GitLab or equivalent., • Exposure to structured project management frameworks such as PRINCE2, APM, PMP, Agile, Scrum or equivalent., • Experience improving or automating programme management processes and reporting., • A recognised project management qualification (e.g. PRINCE2, APM PMQ, PMP) is desirable but not essential. We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND-E: • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards., • Unmatched Work-Life Balance., • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported — including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer: • Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday*, • Healix Private Medical Insurance Options*, • 3 x Annual Salary Life Assurance*, • A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons* for you and your family., • Additional perks such as a pension advisory service, family-friendly policies, season ticket loan, cycle scheme, and financial flexibility through Wagestream*., • Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

OXFIDA (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published. Our work spans AI for insurance underwriting and claims, AI risk governance, privacy-preserving technologies for agentic AI, and quantum optimisation, alongside partnership projects on nature and supply chains and the emerging challenges nobody's solved yet. We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world. See risk clearly. Fixed Term Contract: 18-month fixed-term contract from signing (running to March 2028), with a view to extending (to Sept 2029) or moving to permanent as a second round of programme funding is confirmed Location: Oxford Office, Hybrid would be great but we are comfortable with fully remote for the right person. You'd be joining CODAS, our flagship sovereign AI programme, built in partnership with Japanese public and private sector organisations and academic collaborators at Oxford and UCLA. The goal is a privacy-preserving generative and agentic AI ecosystem that protects personal and sensitive data by design, through data residency, anonymisation, secure deployment, and privacy techniques that hold up at both training and inference time. As a Senior Machine Learning Scientist, you'll take technical ownership of research workstreams within CODAS. Rather than just executing a brief, you'll set the experimental direction yourself and push approaches like differential privacy, federated learning, and secure inference beyond what's already out there. • Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results., • Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques., • Turn research into proof-of-concept systems and deployable components that feed directly into programme deliverables., • Publish, contributing to papers, technical reports, and conference talks that put OXFIDA's work in front of the wider AI community., • Mentor other ML scientists and research associates working alongside you on the programme., • Work directly with partner organisations to understand real technical constraints, not just theoretical ones., • A Master's or PhD in Computer Science, ML, Statistics, Maths, or equivalent experience, plus 5+ years in applied ML/AI research or development., • A genuine track record in privacy-preserving ML, generative AI, LLMs, or federated learning, since this isn't a "learn on the job" role., • Strong Python engineering skills: ML frameworks, version control, CI/CD, reproducible experiments., • Comfort working across the full ML lifecycle, from first prototype to something that can actually be deployed., • Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders. Bonus points: differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector). • Real technical ownership on a genuinely novel, high-profile programme, not a support role on someone else's research., • Direct exposure to Oxford's academic network and CODAS's international partners, not just your immediate team., • Work that ships. This isn't research for its own sake; it becomes part of a live sovereign AI ecosystem built with Japanese public and private-sector partners., • This is a fixed-term contract tied to CODAS's current funding cycle, but there's a genuine intent to extend and move roles to permanent as a second funding round is confirmed. It isn't a contract designed to end. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at www.eit.org. Join ourSciCompteam to build the cloud and compute foundation that enables scientific breakthroughs. Deliver reliable, secure platforms and self-service guardrails that accelerate experimentation and turn ideas into results - faster, at scale, and with confidence. • Build,operate, and continuously optimise our high-performance GPU training and inference clusters, focusing on robust, high-availability scheduling, isolation, and automated lifecycle management., • Drive systems design and implementation for high-throughput data paths, optimising I/O, caching, and data locality across compute and storage (including our current Lustre implementation)., • Proactively benchmark, profile, and resolve performance bottlenecks across the compute, network, and orchestration layers to maximise efficiency for distributed training and inference., • Establish comprehensive observability, resilience, and automated security controls to ensure compliance and robust operation of sensitive research environments., • Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines., • Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale, • A proactive, autonomous approach to systems design and the proven ability and desire to ideate, co-create and implementoptimalsolutions, • Exposure to migrating or transforming ML infrastructure from traditional schedulers to modern, containerised systems, • Expertisewith high-throughput storage systems for ML/HPC workloads, • Expert-level understanding of GPU architecture, high-speed networking for distributed training, and performance profiling to resolve bottlenecks, • A solid grasp ofIaCand CI/CD practices (e.g., Terraform, Argo CD), • Competitive salary (dependent on experience) + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate) and can commit to being onsite at our Oxford office, a minimum of 3 days per working week. #J-18808-Ljbffr

We’re AND‑E – one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. You’ll need first‑class leadership credentials to bring our people with you on this journey and take us to the next level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands‑on contribution to technical delivery, acting as a part‑time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre‑sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non‑technical stakeholders. If you’d like to be part of our brighter future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. • Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function., • Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements., • Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab., • Lead multidisciplinary teams of ML engineers, ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement., • Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab., • Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable., • Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate., • Contribute hands‑on to delivery where required, particularly on complex or high‑priority engagements., • Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders., • Support pre‑sales activity in collaboration with the commercial team, including technical scoping and solution shaping., • Partner with the Project Management function to scope, plan and support delivery engagements., • Oversee the maintenance and continuous improvement of deployed solutions., • Drive reuse of shared frameworks, standards and tooling across projects., • Communicate technical decisions, risks and concerns clearly to non‑technical audiences., • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience., • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production‑grade ML systems and leading technical work across teams or projects., • Strong software engineering background, with experience building and delivering machine learning or data‑driven systems in production or near‑production environments., • Experience leading or managing machine learning engineers or other technical contributors in a delivery‑focused setting., • Experience supporting pre‑sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams., • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML‑enabled systems., • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement., • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse., • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non‑technical stakeholders., • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems., • Ability to communicate technical decisions, risks and trade‑offs clearly to both technical and non‑technical audiences., • Strong problem‑solving, prioritisation and judgement in ambiguous, fast‑moving environments., • Experience contributing hands‑on to technical delivery while also leading multiple projects or workstreams in parallel., • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function., • Experience in regulated, enterprise or operationally complex environments., • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards., • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND‑E: • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards., • Unmatched Work‑Life Balance., • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported – including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer: • 28 Days annual leave with the option to buy/sell up to 5 days holiday*, • Private Medical & Permanent Health Insurance*, • 4 x Annual salary Life Assurance*, • Health and Wellbeing Benefits: Including money back on health‑related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family‑friendly policies (baby bonus & pension advisory service), • Financial and Lifestyle Support: Offers financial flexibility through Wagestream, annual season ticket loans, cycle scheme, and £250 towards driving lessons for you and dependents., • Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND‑E, equal opportunity is more than a policy—it’s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We’re committed to making the process accessible and are happy to help. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Artificial Intelligence & Robotics, • Climate Change & Managing CO₂ This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world‑class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting‑edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: • Improved plant productivity, both indoors and outside, • Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides., • Novel decarbonised plant‑based production platforms for food and medicines, • Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state‑of‑the‑art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long‑term substantial funding to support the unique scale and ambition of its vision. EIT is seeking an experienced Event Delivery and Genotyping Manager to join the Crop Transformation Pipeline team within the Plant Biology Institute. This role will lead molecular event confirmation, genotyping assay strategy, event advancement decisions and delivery of high‑quality gene edited and transgenic crop events to downstream trait and product teams. The successful candidate will be a technical authority in genotyping technologies for transgenic and gene edited crops, with strong experience in event characterisation, assay development, sample tracking, molecular data interpretation and project delivery. They will connect transformation, tissue culture, greenhouse, vector design, bioinformatics and trait teams to ensure that events are confirmed, prioritised and handed over with robust data packages. This role is critical to building an industrial‑grade event delivery capability for crops including corn, wheat and other strategic species. The candidate will establish event stage‑gate criteria, molecular QC workflows, genotyping vendor strategies, LIMS‑enabled sample tracking and performance metrics that improve speed, quality and predictability of event delivery. The candidate will own the downstream event confirmation and delivery process, ensuring that regenerated plants and events are sampled, genotyped, QC‑reviewed, prioritised and handed over with clear molecular data packages. • Lead the event delivery workflow from transformation output through plant recovery, sampling, molecular confirmation, quality review, advancement decisions and handover to trait, greenhouse or product teams, • Design, validate and implement genotyping assays for transgenic and gene edited events, including transgene presence/absence, edit detection, zygosity, copy number, junction assays, backbone absence, on‑target and off‑target analysis, segregation tracking and event integrity, • Apply appropriate genotyping technologies such as endpoint PCR, qPCR, ddPCR, KASP, HRM, Sanger sequencing, amplicon sequencing, targeted sequencing, NGS and targeted capture approaches to support event selection, • Partner with the Vector Design Manager to ensure every construct is paired with a fit‑for‑purpose molecular assay plan before transformation begins, • Develop event stage‑gate criteria and decision frameworks for advancing gene edited and transgenic events based on edit outcome, transformation quality, copy number, expression/reporter data, regeneration status and downstream programme needs, • Coordinate sample collection, DNA extraction, plate maps, barcoding, chain‑of‑custody, sample submission, vendor shipment and data return across internal laboratories and external service providers, • Work with bioinformatics and data teams to analyze edit outcomes, chimerism/mosaicism, indel profiles, sequence confirmation, off‑target risk, event integrity and molecular quality metrics, • Own event inventory management, genotype data capture, sample traceability and event status dashboards using ELN, LIMS and structured data systems, • Track key pipeline metrics including event yield, transformation efficiency, edit frequency, assay success rate, QC pass rate, sample turnaround time, regeneration‑to‑confirmed‑event conversion and event delivery timelines, • Manage external genotyping, sequencing and molecular characterisation service providers, ensuring quality, turnaround time, budget and data format expectations are met, • Create SOPs, sample submission templates, assay validation standards, QC checklists, data interpretation guides and event handover templates, • Develop detailed project plans, resource forecasts, risk registers and milestone dashboards for event confirmation and delivery activities, • Train and mentor scientists, research associates and technicians in sample tracking, genotyping workflows, assay interpretation and event advancement criteria, • The successful candidate will combine technical depth in plant genotyping and event characterisation with strong operational discipline. They will ensure that transformation outputs are converted into well‑characterised, decision‑ready events that can be advanced efficiently and confidently, • The candidate will be expected to support IP creation, regulatory readiness and commercial translation by ensuring event data packages are accurate, traceable and fit‑for‑purpose for downstream development, • Collaborate with vector design, crop transformation, tissue culture, greenhouse, trait discovery, bioinformatics, automation/AI, regulatory/IP, legal, procurement and external partner teams, • Present event delivery status, molecular characterisation data, genotyping assay performance, risks and mitigation plans to project teams and leadership, • Define clear standards for event sampling, molecular QC, genotyping interpretation, event advancement and handover across the pipeline, • Contribute to training and capability building across the Plant Biology Institute, including best practice in genotyping assay development, event confirmation and data integrity, • Represent the event delivery and genotyping function in internal and external collaborations, ensuring scientific quality, confidentiality and timely delivery, • Establish a robust event delivery and genotyping engine that improves speed, predictability and confidence in gene edited and transgenic crop event generation, • Improve event advancement decisions by ensuring transformation outputs are molecularly confirmed, QC‑reviewed and prioritised using clear stage‑gate criteria, • Reduce wasted downstream effort by filtering events early using robust genotyping, molecular QC and data‑driven decision‑making, • Support translation of scientific discoveries into commercially applicable crop improvement tools and trait products, including IP and regulatory‑ready data packages, • PhD in Plant Biotechnology, Molecular Biology, Genetics, Genomics, Crop Science or a related discipline, or MSc with significant relevant industry experience. At least 5-7 years of experience in plant biotechnology, genotyping, molecular characterisation or event advancement, • Demonstrated expertise in genotyping technologies for gene edited and transgenic plants, including PCR, qPCR, ddPCR, KASP, Sanger sequencing, amplicon sequencing and NGS‑based approaches, • Strong experience designing, validating and interpreting molecular assays for event confirmation, including copy number, zygosity, insertion confirmation, junction analysis, backbone screening, edit outcome analysis and segregation tracking, • Strong understanding of crop transformation workflows and the practical requirements for moving events from transformation through regeneration, sampling, genotyping, greenhouse transfer and downstream handover, • Experience with molecular data interpretation for genome editing outcomes, including indels, precise edits, multiplex edits, chimerism/mosaicism and off‑target assessment, • Experience with ELN, LIMS, sample barcoding, plate maps, structured data capture, event inventory management and data integrity practices, • Excellent project management skills, including milestone tracking, resource planning, vendor management, risk management and stakeholder coordination, • Proven ability to manage external vendors, service providers or collaborators for genotyping, sequencing, DNA extraction, assay development or molecular characterisation, • Ability to communicate event status, molecular data, risks and advancement recommendations clearly to scientific, operational and leadership audiences, • Strong troubleshooting, documentation and continuous improvement mindset, • Experience in industrial ag‑biotech, commercial seed/trait development, molecular breeding, crop transformation platforms or product development pipelines, • Hands‑on experience with corn, wheat, soybean or other major crop species, including genotype‑dependent transformation and event recovery challenges, • Experience developing regulatory‑ready molecular event data packages or working within GLP, QMS or quality‑controlled research environments, • Experience with high‑throughput genotyping workflows, 96/384‑well sample handling, automation, liquid handling, LIMS integration and dashboard reporting, • Experience with whole‑genome sequencing, targeted capture, off‑target prediction/validation or bioinformatics‑supported edit analysis, • Experience building or leading a small technical team and establishing new operational processes in a fast‑moving research environment, • Salary dependent on experience + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Within this ecosystem, the Pathogen Mission exemplifies EIT’s commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample-to-answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.’s cloud-computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. We're seeking an experienced and innovative Senior MEMS Development Engineer/Scientist to develop novel microfabricated devices and sensor interfaces for next-generation nanopore sequencing technologies. This hands-on role will focus on designing, prototyping, and characterising MEMS devices, taking concepts from proof-of-concept through to integrated multi-channel sensing systems. Working closely with a Senior Electronics R&D Engineer, you'll drive device development through iterative design, testing, and optimisation. You’ll tackle challenges spanning microfabrication, materials, device architecture, and MEMS-electronics integration while collaborating with external fabrication partners and technical suppliers. As the programme grows, you’ll help establish the MEMS engineering capabilities, processes, and technical foundations needed to support a wider multidisciplinary team. • Take technical ownership of the MEMS engineering development of novel microfabricated sensing structures and device interfaces, from early concepts through to functional prototypes and integrated systems., • Design and develop microfabricated devices and test structures, including the selection of materials, fabrication processes and device geometries., • Develop and evaluate fabrication approaches using established semiconductor and MEMS manufacturing techniques, adapting processes to meet the requirements of novel sensing devices., • Work closely with the Senior Electrical R&D Engineer to co-develop and evaluate prototype devices, using experimental findings to guide iterative improvements in MEMS design and electronic integration., • Design and characterise mechanical, electrical and material interfaces, investigating their influence on device performance, reliability and repeatability., • Develop experimental methods and test structures to assess fabrication quality, dimensional accuracy, device performance and reliability., • Investigate the effects of materials, surface properties, fabrication tolerances and assembly processes on device behaviour and performance., • Collaborate with electrical and mechanical engineers to develop prototype assemblies, alignment methods and experimental test platforms., • Identify and resolve fabrication challenges through design iteration, experimental characterisation and failure analysis., • Develop increasingly sophisticated prototype devices as the project progresses, supporting the transition from initial feasibility studies to integrated nanopore sensing systems., • Identify and engage specialist external fabrication facilities, engineering suppliers and technical collaborators to support the development and manufacture of prototype components and devices., • Define technical specifications and fabrication requirements for external suppliers, including design documentation, material requirements, dimensional tolerances and performance criteria., • Coordinate technical activities with external suppliers and collaborators, reviewing fabrication approaches, monitoring progress and evaluating deliverables against agreed requirements., • Plan and execute structured experiments, analyse performance data and translate findings into engineering requirements and design improvements., • Contribute to the selection and development of fabrication methods, considering manufacturability, scalability, cost and process reliability., • Maintain clear technical documentation, design records and experimental results, contributing to intellectual property development and technical reviews while ensuring appropriate confidentiality., • Provide technical guidance and mentoring as the engineering team expands, helping establish robust engineering practices and development processes. We welcome applicants from industry, applied research and academia who can demonstrate strong technical expertise and practical engineering capability. • Degree in Electrical Engineering, Mechanical Engineering, Materials Science, Physics or a related discipline, or equivalent relevant experience., • Significant experience in MEMS engineering, semiconductor microfabrication or microdevice development, ideally involving novel sensors, electronic interfaces or precision microfabricated systems., • Strong understanding of MEMS design principles, materials selection and microfabrication techniques., • Experience designing microfabricated devices using CAD tools, including the preparation of layouts, fabrication drawings or photolithography mask designs., • Practical knowledge of semiconductor and MEMS manufacturing processes, such as photolithography, thin-film deposition, etching, surface treatment and metallisation., • Experience developing and characterising prototype devices, including dimensional, mechanical and electrical evaluation., • Ability to understand and resolve fabrication challenges through experimental investigation, design modification and process optimisation., • Knowledge of material properties, fabrication tolerances and their influence on device functionality and reliability., • Experience planning and executing structured experimental programmes to characterise complex devices and resolve technical challenges., • Ability to work independently, establish technical approaches and deliver functional prototypes in an early-stage R&D environment., • Experience collaborating with multidisciplinary teams and translating requirements between MEMS, electronics, mechanical engineering and device fabrication., • Ability to develop clear technical specifications and work effectively with external fabrication facilities, engineering suppliers or development partners., • Experience developing MEMS or microfabricated devices for biosensing, electrochemical sensing, nanopore technologies or other sensor applications., • Knowledge of silicon micromachining, wafer processing and microelectronic device fabrication., • Experience with microfabricated electrodes, conductive thin films, dielectric materials or electronic sensor interfaces., • Familiarity with microelectronic packaging, device assembly, bonding and integration of MEMS with electronic systems., • Experience with polymeric materials, elastomeric components or other compliant materials used in microsystems., • Knowledge of mechanical contact behaviour, surface interactions, material deformation and reliability testing at small length scales., • Experience with optical microscopy, electron microscopy, profilometry, surface analysis or other microdevice characterisation techniques., • Experience designing devices that incorporate fluidic, electrochemical or biological components., • Familiarity with finite element analysis or other simulation methods for mechanical, thermal or material behaviour., • Experience working with external MEMS foundries, academic cleanroom facilities or specialist microfabrication suppliers., • Knowledge of fabrication process development, process yield improvement and quality control., • Understanding of design for manufacture, engineering reliability and transitioning prototype devices towards scalable production., • Hands-on and inventive: Enjoys solving technical challenges through practical engineering, experimentation and rapid prototyping., • Comfortable with early-stage R&D: Able to work effectively where solutions are not yet established and technical requirements evolve through experimentation., • Analytical and systematic: Uses sound engineering judgement and quantitative evidence to understand complex behaviour and guide design decisions., • Collaborative: Works closely with specialists in electronics, mechanical engineering, chemistry and MEMS fabrication, as well as external technical partners, to develop integrated solutions., • Independent and proactive: Can establish experimental capabilities, identify priorities and progress technical work with limited existing infrastructure., • Technically ambitious: Motivated by challenging engineering problems and developing technologies with the potential for substantial real-world impact., • Clear communicator: Able to explain complex technical challenges, document findings and communicate requirements effectively with colleagues, suppliers and external collaborators., • Salary: Competitive + travel allowance + bonus, • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis., • You will live in, or within easy commuting distance of, Oxford (or be willing to relocate)., • You must be eligible to work in the UK with occasional travel (1-3 trips per year). #J-18808-Ljbffr

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO₂ Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at www.eit.org Join our SciComp team to build the cloud and compute foundation that enables scientific breakthroughs. Deliver reliable, secure platforms and self-service guardrails that accelerate experimentation and turn ideas into results - faster, at scale, and with confidence. • Build, operate, and continuously optimise our high-performance GPU training and inference clusters, focusing on robust, high-availability scheduling, isolation, and automated lifecycle management., • Drive systems design and implementation for high-throughput data paths, optimising I/O, caching, and data locality across compute and storage (including our current Lustre implementation)., • Proactively benchmark, profile, and resolve performance bottlenecks across the compute, network, and orchestration layers to maximise efficiency for distributed training and inference., • Establish comprehensive observability, resilience, and automated security controls to ensure compliance and robust operation of sensitive research environments., • Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines., • Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale, • A proactive, autonomous approach to systems design and the proven ability and desire to ideate, co-create and implement optimal solutions, • Exposure to migrating or transforming ML infrastructure from traditional schedulers to modern, containerised systems, • Expertise with high-throughput storage systems for ML/HPC workloads, • Expert-level understanding of GPU architecture, high-speed networking for distributed training, and performance profiling to resolve bottlenecks, • A solid grasp of IaC and CI/CD practices (e.g., Terraform, Argo CD), • Competitive salary (dependent on experience) + travel allowance + bonus, • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July., • Pension - Employer contribution 7.5%, minimum employee contribution 5%, • Life Assurance., • Income Protection, • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan, • Employee discounts, • Electric car scheme, • Nursery Salary Sacrifice scheme, • Cycle to Work Scheme, • Family Planning, • Neurodiversity support including advise and assessments, • Coaching & Therapy services Working together - what it involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate) and can commit to being onsite at our Oxford office, a minimum of 3 days per working week. #J-18808-Ljbffr

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology, • Food Security & Sustainable Agriculture, • Climate Change & Managing CO₂, • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org. At EIT we are seeking an experienced and detail-oriented Asset Manager to lead the strategic and operational management of our physical asset portfolio. This is a key role within a fast‑growing, science‑led organisation, responsible for establishing and embedding robust asset management systems and governance across laboratories, scientific facilities, clinical environments and office spaces. You will ensure full compliance with statutory, preventative and reactive maintenance requirements, while introducing predictive and data‑driven maintenance practices to support future growth and resilience. • Develop and maintain a comprehensive asset management strategy aligned with business growth, regulatory requirements and long‑term estate planning., • Establish, maintain and govern a complete and accurate asset register., • Define asset criticality, condition and risk profiles across the portfolio., • Oversee the full asset lifecycle, from commissioning and operation through to maintenance, renewal and disposal, including forecasting and budgeting., • Lead planning and readiness for new buildings, incoming sites and scientific assets, ensuring compliant occupation and operation., • Oversee maintenance performance, statutory compliance and operational reporting for high‑risk laboratory and clinical assets., • Lead internal audits, inspections and assurance activities., • Implement predictive maintenance strategies using condition monitoring and data analysis to reduce downtime and extend asset life., • Identify and manage asset‑related risks, including single‑point failures, supply‑chain dependencies and regulatory exposure., • Lead, mentor and develop the asset team, embedding clear governance, reporting and performance metrics., • Manage contractors and service providers against agreed KPIs and service standards., • Support incident investigations, corrective actions, and continuous improvement initiatives., • Proven experience in asset management within laboratories, healthcare, scientific or other complex, regulated environments., • Experience managing a large, multi‑site asset portfolio and bringing multiple buildings online concurrently., • Strong knowledge of statutory, preventative and reactive maintenance regimes., • Hands‑on experience with CMMS systems and asset registers., • Demonstrated ability to lead, mentor and develop high‑performing teams., • Strong stakeholder management skills, with the ability to collaborate effectively across internal teams and external partners., • Excellent organisational skills with a high level of attention to detail., • Experience working in a start‑up or high‑growth organisation., • Knowledge of ISO 55000 asset management standards., • Experience implementing predictive maintenance technologies or data‑driven maintenance strategies., • Salary: £60,000 - £70,000 + travel allowance + bonus, • Enhanced holiday + options to buy additional days, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme, • Childcare benefit #J-18808-Ljbffr

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream-we're making it reality. For over two decades, we've been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what's possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled "time-to-power" capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm. At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century. We are looking for a Senior Staff Electrical Engineer, NPI, to join our team in one of today's most exciting technologies. This role will report to Director, Development Engineering, and based in Newark, DE. This is a fully on-site, in office role 5 days a week. • Manage new NPI Project transfers to Bloom Manufacturing and CM's., • Ability to communicate clearly & professionally within the team and also with external vendors., • Develop interconnect wiring diagrams/schematics, wire harness drawings, and test procedures., • Ability to lead electrical team., • Failure analysis of electrical components and preventative or corrective action., • Panel layout and prototyping., • Develop Work Instructions., • Develop, and/or work with suppliers to generate test requirements, test fixtures and test software., • Develop and manage BOMs, ECNs, Deviations., • Work within the development team to ensure design for manufacturability., • Develop test equipment from concept to commissioning., • Train manufacturing personnel on test process, test equipment, and test software., • 8+ years experience in Electrical Engineering or New Product Introduction., • The candidate will have worked in oil and gas, energy and power, pharmaceutical production, chemical processing, large capital equipment, or related industry., • Knowledge of fuel cell systems is a plus but is not required, • Experience developing schematics and wire harness CAD (using AutoCAD), • Ability to independently manage projects, • Experience in rapid scale up of a new products., • Understanding of analog and digital circuits, power devices, magnetics, control systems, switchgear, test equipment and instrumentation, • Hands-on experience testing and troubleshooting high power, high voltage equipment in a laboratory environment, • Experienced in development of test equipment which include electro-mechanical assemblies (e.g.: mass & air flow sensors, DC-DC converters), • Excellent hands-on bench/lab skills working with electrical components (PCB, high voltage components, wiring interconnects, and digital/analog I/O), • Strong written, verbal, and interpersonal communication skills, • Ability to work independently in a fast paced start up environment, • BS or MS in Electrical Engineering or related discipline, • Knowledge of Mechanical Assemblies a plus. Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result. Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience. #BEI2024 Salary Ranges: $147,600.00 - $212,400.00 Bloom Energy's mission is to make clean, reliable energy affordable for everyone in the world. With roots in NASA's Mars Program, the company's founder, chairman, and Chief Executive Officer, Dr. K.R. Sridhar, developed an innovative fuel cell technology that is shifting the energy paradigm and redefining the electric power market. The Bloom Energy Server is a distributed electric power solution built for the digital age and capable of delivering highly reliable, uninterrupted, 24x7 constant power that is also clean and sustainable. Bloom's unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramatically lower greenhouse gas emissions. By generating power where it is consumed, Bloom Energy offers increased electrical reliability and improved energy security, providing a clear path to energy independence. Some of the largest companies in the world trust Bloom Energy to provide their businesses with clean, reliable and resilient energy. Bloom's customers include many Fortune 100 companies and leaders in manufacturing, data centers, healthcare, retail, higher education, utilities, and other industries. The company, headquartered in San Jose, California, is growing quickly and looking to add to its dynamic team. Stay up to date with Bloom Energy through our social channels. #J-18808-Ljbffr