Trabajos r&d en CambridgeCrear alertas

\n CNC Programmer, 5-Axis Milling, CAM Software, Precision Machining \n A CNC Programmer opportunity has arisen with an established UK-based engineering business, offering the chance to work across both R&D and manufacturing on a varied range of precision components. Does the idea of working in a technically rich, high-mix environment where your skills genuinely shape what gets made appeal to you? \n The Ro... \n \n \n ZIPC1_UKTJ

\n Building resilience into the UKs radar systems\n\n\n Cambridge; to c£75,000 + Benefits\n\n\n \n\n\n This R&D team works at the forefront of radar systems development providing technical insights and know-how to improve resiliency in extremely challenging RF environments. They develop computational models capable of simulating not just a single system, but how multiple systems interact. They use these to explore new ar...\n \n \n \n \n\n\n \n\n\n \n\n\n \n\n\n \n \n \n\n \n ZIPC1_UKTJ

\n Senior Director, R&D AI & Technology Transformation\n \n We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK Senior Director, R&D AI & Technology Transformation R&D Tech Transformation & Operations connects strategy, investment and delivery across priority R&D technology programmes. The team works with scientific, technology and business leaders to strengthen decisions, accelerate value and support consistent adoption across R&D. This role strengthens a portfolio of priority R&D technology programmes by connecting programme teams with R&D technology strategy and investment decisions. You will work closely with selected programmes, bringing constructive challenge, strategic support, and external market insight. You will help teams frame choices, define value and address barriers without taking accountability away from programme owners. We expect to appoint two Senior Directors through this recruitment, with complementary experience across research and drug development technology. For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029. \n \n In this role you will Partner with leaders of selected priority technology programmes to clarify strategy, scope, value objectives, roadmaps and organisational needs. Provide an independent, evidence-based view of programme progress, risks and value delivery to support Technology Investment Board decisions. Apply a high-challenge, high-support approach, bringing transparency while helping teams solve strategic problems and remove barriers. Lead focused work on questions such as build, buy or partner choices, capability sourcing, operating models and external technology landscapes. Assess which capabilities could create competitive advantage and which can be sourced effectively from external partners. Help shape new technology initiatives, including their business case, funding approach, value definition, governance and delivery model. Connect learning across programmes, identify opportunities for reuse and reduce unnecessary duplication of technology capabilities. Build trusted relationships with senior scientific, technology and business leaders, influencing decisions without direct authority. Translate between scientific, operational and technical stakeholders so that complex choices become clear and actionable. Contribute directly to strategic projects related to the wider portfolio while programme delivery accountability remains with programme owners. \n \n \n \n • competitive salary\n \n • an annual bonus based on company performance\n \n • healthcare and wellbeing programmes\n \n • pension plan membership\n \n • shares and savings programme\n \n • health care and other insurance benefits (for employee and family)\n \n • retirement benefits\n \n • paid holidays\n \n • vacation\n \n • paid caregiver/parental and medical leave\n \n • annual bonus and eligibility to participate in our share based long term incentive program\n \n \n \n Basic qualifications\n \n \n \n • Degree or equivalent experience in technology, computer science, life sciences, engineering, business or a related discipline.\n \n • Significant experience leading strategic technology, AI or digital transformation work in a large pharmaceutical environment.\n \n • Strong knowledge of drug research or development and the ability to work credibly with scientific, operational and technology leaders.\n \n • Demonstrated experience shaping and delivering cross-functional strategic projects in complex organisations.\n \n • Experience evaluating technology capabilities, operating models, partnerships or build-versus-buy decisions.\n \n • Ability to use structured analysis to develop recommendations and support implementation.\n \n • Executive-level communication and influencing skills, including confidence working with Vice Presidents and other senior leaders.\n \n • Evidence of hands‑on contribution, sound judgement and effective delivery in ambiguous, fast-moving environments.\n \n \n \n Preferred Qualifications & Skills\n \n \n \n • Experience in management consulting, particularly strategy, technology or life sciences consulting.\n \n • Experience moving from consulting into pharmaceutical, biotechnology or life-sciences technology roles.\n \n • Knowledge of AI-enabled research or development solutions, clinical development technology, regulatory technology, data platforms or scientific technology.\n \n • Product, portfolio or investment experience within pharmaceutical R&D, biotechnology, a contract research organisation or a life-sciences technology company.\n \n • Experience working with external vendors, technology partners or innovation ecosystems.\n \n \n \n Closing Date for Applications – 4th October 2026 \n \n If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $203,775 to $339,625. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. \n \n GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. \n \n GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. \n \n We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. \n #J-18808-Ljbffr

\n Who we are\n Sagentia Medical is a specialist science and engineering consultancy supporting MedTech companies across diagnostics, surgical, interventional and other medical devices. Working across the full R&D lifecycle - from early-stage concept development to product realisation and launch - we help organisations reduce innovation risk and deliver solutions that meet clinical and user needs. Sagentia Medical is part of Science Group plc. The opportunity\n We are looking for a senior commercial individual with a background in healthcare/medical device innovation and R&D to join Sagentia Medical’s dynamic and growing team in our Harston (Cambridge) or Epsom office. Reporting into the Managing Partner, you will play a key role in contributing to the continued growth and success of the business. To be successful in this role you will lead business development and client relationship management activities drawing upon your R&D / MedTech background. You will provide input to our strategy and will ultimately be responsible for profitable sales and successful project delivery within nominated accounts and sub-sector marketing campaigns. \n You will have the opportunity to travel overseas to visit and work with our clients; it is expected that you will be travelling around 20% of your time (US, Europe and Asia). \n Department: Sector \n Location: Cambridge Key Responsibilities Account management, within a set of nominated key accounts:\n \n • Act as main point of contact between Sagentia Medical and client account.\n, • Network widely to maximise exposure to Sagentia Medical within the client’s organization\n, • Seek opportunities within target accounts to grow additional revenue streams for Sagentia Medical.\n, • Maintain sales and revenue forecast\n, • Responsible for client communication on commercial matters; ensure issues are addressed that are raised by the client or by Sagentia Medical.\n Business Development within the medical industry\n \n, • Collaborate with Business Development Managers within the team; source new sales leads through proactive sales & marketing activities.\n, • Visit prospects to identify potential client needs sell the value proposition of Sagentia Medical.\n, • Own and coordinate the writing and delivery of compelling sales & marketing material (e.g. discussion documents, proposals, case studies, capability decks)\n, • Take direct ownership of the sales process, including specifically the closing of sales opportunities contributing to the growth of the sales pipeline\n, • Responsible for reviewing proposals and project deliverables prior to client release\n Technical/Clinical Domain Leadership within specific market sub-sectors\n \n, • Establish areas of opportunity within specific market sub-sectors, working with our marketing team\n, • Take lead on messaging and speak at events on key thought leadership topics\n, • Feedback market information to the technical & marketing teams to support product and service development\n Contract management\n \n, • Responsible for negotiating contracts; work with the Managing Partner and the Group’s executive team as appropriate\n, • Demonstrate commercial and business awareness and manage situations effectively that will enhance the brand and perception of Sagentia Medical\n Oversee project delivery\n \n, • Oversee and where necessary provide high level contribution to project delivery ensuring it meets client requirements\n, • Link client stakeholder needs with technical delivery of project and where appropriate translate technical delivery into client language\n, • Where appropriate lead delivery meetings/facilitate workshops etc.\n Skills, Knowledge and Expertise\n \n, • Degree qualifications to Masters/PhD level from an Engineering or Science background preferred; MBA would be beneficial\n, • Experience of R&D and an understanding of medical device development. In particular, knowledge of the product development life cycle of surgical devices and robotics, in vitro diagnostics, drug delivery, neurotech, digital/connected health, imaging devices or medical software would be of particular interest.\n, • Approximately 10+ years post education work experience\n, • Experience of operating at a senior level (CXO, VP or R&D Director) within large blue chip corporates and startups\n, • Experience in delivering against defined sales and business development targets\n, • Evidence of success in building a rapport and trust in customers\n, • Experience of new product/device introduction\n, • Experience of operating with both European and US organisations/markets would be highly desirable.\n Benefits\n \n, • We offer a highly competitive salary and benefits package\n Career development\n We are committed to career development and make a focused effort to offer bespoke training and mentoring to allow each individual to thrive within their environment and realise personal potential. \n #J-18808-Ljbffr

\n Locations: Cambridge, UK or Barcelona, Spain \n Salary & Benefits: Competitive About AstraZeneca and AISI\n At AstraZeneca,technologyand science meet to change what is possible for patients. We are building a connected, end-to-end Enterprise AI engine — uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you will activelyleverageexisting capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. \n AI Science & Innovation (AISI) sits at thecentreof AstraZeneca's R&D AI transformation. Our remit is to build, buy, and deliver the AI models and agents that change pipeline outcomes across discovery, translational science, biomarkers, and clinical development. \n Within AISI, theClinical AI team arebuilding world-class AI capability to accelerate the design, conduct, and analysis of clinical trials across ourBioPharmaceuticalspipelines— spanning both early and late phaseprogrammes. We partner closely with clinical development, regulatory, and biometrics teams to bring better treatments to patients faster, while adhering to the highest evidentiary standards. The Opportunity\n Bringing new treatments to patients demands scientific excellence at every stage of development. In theClinical AI team, we focus on one of the most data-rich and decision-intensive parts of that journey: clinical development. Trial design, patient selection, doseoptimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can addrigour, speed, and precision — not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold ourselves to measurable standards of improvement, and we build methods that can be evaluated, reproduced, and trusted in regulatory settings. \n You will work across the enterprise to define and deliver on AstraZeneca's most pressing clinical development questions — leading cross-functional teamsspanning the keyBioPharmaceuticalsdisease areas of cardiovascular, renal, metabolic disease, respiratory,immunologyand cell-therapy.You and the team will develop reusable methods and enterprise-scale approaches that measurably advance the late-stage drug pipeline. This is a high-visibility opportunity to shape how AstraZeneca does AI forBioPharmaceuticalsclinical development — frommethodologystandards to external scientific influence. \n AI for clinical development is a field in motion. Foundation models, agentic systems, and causal AI are advancing rapidly, and the regulatory and methodological frameworks around them are evolving in parallel. As a Director, Data Scientist, you will define and drive the AImethodologyagenda for one or moreprogrammeswithinClinical AI, leading by scientific influence and matrix coordination rather than through a formal hierarchy. You will be the scientific authority that study teams, biometrics, and regulatory colleagues turn to — and AstraZeneca's voice externally at the critical moment when the rules of the road for AI in clinical trials are being written. Key Responsibilities\n \n • Define and drive the AImethodologyroadmap for assignedClinical AIprogrammes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and businessobjectives.\n, • Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from problem definition andmethodologyselectionthrough validation, regulatory alignment, and scaled adoption across the enterprise.\n, • Develop and govern reusable, enterprise-grade AI methods and evaluation frameworks for clinical trial settings, including innovative trial design support, doseoptimisation, biomarker discovery, digital twins, predictive and prognostic modelling, and safety and efficacy signal detection.\n, • Champion data-centric AI practices atprogrammelevel: govern the acquisition, curation, and quality control of datasets for model training, post-training, benchmarking, and evaluation across clinical and regulatory settings.\n, • Partner with Clinical Development, Biometrics, Regulatory, and Study Teams to embed AI strategy andvalidatedsolutions into study design and decision-making atprogrammelevel.\n, • Shape the AI evidence componentfor regulatory submission packages; act as the scientific and methodological voice in regulatory engagements involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA).\n, • Evaluate and championcutting-edgeAI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust evaluation criteria and risk assessment.\n, • Establish andmaintainexternal collaborations with academic institutions, technology partners, and industry consortia to access novel capabilities and advance the scientific agenda.\n, • Represent AstraZeneca at scientific conferences, standards bodies, and peer-reviewed venues;contributefirst- or last-author publications in leading ML and clinical AI journals.\n, • Serve as a technical mentor and thought partner for Associate Directors and Senior Data Scientists within the Clinical AI team; promote scientificrigour, reuse, and a culture of learning in public.\n, • Contribute to the broader AISI AI for Clinical Development strategy, including cross-functional ways of working, tooling governance, andmethodologystandards.\n Essential Requirements\n \n, • PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or a closely related quantitative discipline — with a strong, hands-on computationaltrack record.\n, • 4–8 years of post-PhD experience in AI and machine learning method development, with demonstrated and sustained impact in clinical, biomedical, or drug development settings (e.g.models delivered, first-author publications, patents, SaMD filings, open-source projects).\n, • Deep experience, knowledge, and understanding of one or more fields of biology, with hands-on experience working with biological data such as molecular (DNA, RNA, protein), imaging (radiology, microscopy), or clinical text (EHR, clinical notes).\n, • Deepexpertisein modern AI methodologies, including one or more of: foundation model training and fine-tuning; Bayesian inference; temporal and longitudinal modelling; multimodal integration; model calibration and domain adaptation; data-centric AI; model interpretability; model post-training and alignment.\n, • Exceptional software engineering skills: Python, deep learning frameworks (e.g.PyTorch), frontier coding agent frameworks, modern LLM tooling, and cloud platforms (e.g.AWS, Azure, GCP).\n, • Demonstrated experience translating AI methods into applications that inform clinical and/or biomedical decisions, including prospective evaluation or contribution to submission-relevant evidence.\n, • Trackrecord ofdriving scientific influence across cross-functional communities — ML, clinical, biostatistics, regulatory — without relying on formal authority.\n, • Peer-reviewed publications in clinical AI, computational drug development, or leading ML venues (e.g.NeurIPS, ICML, ICLR, Nature Medicine, Lancet Digital Health).\n, • Excellent written and verbal communication skills, withdemonstratedability to translate technical findings for clinical, regulatory, and executive audiences.\n Desirable Skills and Experience\n \n, • Direct industry experience in early or late phaseBioPharmaceuticalsclinical development, including clinical trial design, biomarker discovery, companion diagnostics, dosing, safety, endpoints, or regulatory processes.\n, • Direct experience contributing to FDA, EMA, PMDA, or MHRA submissions involving AI/ML methods or innovative trial designs.\n, • Priorregulatory engagement on AI methodology, complex innovative trial design, or AI/ML qualification opinions.\n, • Experience withMLOpsandLLMOpsat scale, including CI/CD pipelines and enterprise deployment.\n, • Open-source contributions, workshoporganisation, or standards-body participation.\n, • Knowledge of computing hardware and its impact on model training and inference at scale.\n, • Experience in a complex globalorganisationspanning multiple sites and therapy areas.\n, • Strongproficiencyin augmenting — but not supplanting — daily knowledgeworkwith agentic AI tools.\n, • Proactivelyup-to-datewith the latest AIresearch;tries out new tools and methods of interest without waiting to be directed.\n, • Team-oriented mindset: does what is best for the team and theprogramme, not just the individual deliverable.\n, • Ability to deliver high-quality, high-impact contributions independently and atpace.\n, • Comfort with ambiguity and an instinct to learn in public, prototype early, and fail forward.\n, • Deep, up-to-date knowledge of the ML literature and active connections with the ML community.\n Why AstraZeneca?\n Here, technology and science meet to change what is possible for patients. You will join a company investing boldly in AI and data to become truly data-led, where unexpected teams come together to address problems that have never been solved before. When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life-changing medicines. \n The playbook for AI in clinical development will be written in the next two to three years. You will help write it — with an outsized voice at regulatory agencies, scientific consortia, and external partners during the narrow window when the rules of the road for AI in pivotal evidence are being defined. That is the reasonto come. \n We hire for learning agility and technical excellence. The strongest candidates here learn fast, are comfortable with ambiguity, prototype early, fail forward, and partner credibly across communities. We balance the expectation of being in the office — on averageat leastthree days per week — while respecting individual flexibility. Date Posted\n 10-sep.-2026 Closing Date\n 29-sep.-2026 \n Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. \n #J-18808-Ljbffr

\n ATE Technical Lead \n The R&D ATE team is looking for an ATE Technical Lead to lead the development, deployment, and lifecycle ownership of Automated Test Equipment for a product line. \n This role combines hands‑on technical leadership, multidisciplinary project execution, production‑line support, and close collaboration with internal engineering teams and external manufacturing partners. The position on offer is a temporary contract role for 2 years offering hybrid working (3 days onsite and 2 days from home) with an hourly rate of £21.54 - £34.62 depending on experience, plus 25 days holiday pro rata per annum. \n The ATE Technical Lead will define test strategies, guide tester architecture decisions, lead tester bring‑up, improve production quality and yield, and support scalable ATE implementation across manufacturing environments. \n The role includes close day‑to‑day cooperation with Taiwanese Contract Manufacturing Organization (CMO), including technical alignment, issue resolution, documentation transfer, production readiness, and coordination across time zones. \n Join our client to work in a dynamic R&D environment that combines hardware, software, data, manufacturing, and connected-device expertise, while leading mission‑critical testing platforms that directly influence product quality and operational excellence. \n This is a great opportunity to Join as they build the team that will develop and deliver our future generations of Vence Collar. A product rich in technological challenges across the multidisciplinary domains with its advanced system architecture and connectivity. You will experience the success of your work in customers hands with short delivery cycles and quick customer feedback. Role Functions:\n \n • Lead the architecture, development, validation, deployment, and lifecycle management of ATE systems for a product line.\n, • Own the ATE technical roadmap, ensuring maintainability, standardization, scalability, and alignment with product and production needs.\n, • Define tester requirements, test strategies, integration plans, acceptance criteria, documentation packages, and production transfer plans.\n, • Lead tester bring‑up and integration across mechanical, electronic, embedded, software, fixture, instrumentation, and production interfaces.\n, • Manage ATE project execution end‑to‑end, including requirements, design reviews, gate approvals, planning, scheduling, risk management, and stakeholder communication.\n, • Work closely with CMOs to support production readiness, tester deployment, issue escalation, troubleshooting, and continuous improvement across time zones.\n, • Coordinate technical activities with hardware, software, embedded, mechanical, operations, manufacturing engineering, quality, and external subcontractors.\n, • Provide Tier 2 and technical‑lead support for production ATE systems, including troubleshooting, calibration, failure analysis, reliability improvement, and yield optimization.\n, • Analyze test and manufacturing data to identify trends, root causes, yield improvements, and opportunities for process optimization.\n, • Collaborate with multidisciplinary product and platform teams in the UK, Israel and California, USA.\n Experience, Knowledge and Skills include:\n The position requires multidisciplinary understanding, strong hands‑on technical capabilities, and the ability to work effectively in a multi‑site matrix organization. The candidate should be comfortable leading technical topics while working closely with system engineers, hardware engineers, embedded software developers, mechanical engineers, production teams, quality teams, subcontractors, and CMOs. Skills & Characteristics:\n \n • Strong ownership mindset with the ability to lead complex technical topics from concept to production implementation.\n, • Ability to focus on what is important, prioritize risks, and drive issues to practical resolution.\n, • Organized and able to work well in a structured process environment with clear documentation and follow‑up.\n, • Strong hands‑on approach, including debugging, tester bring‑up, system integration, and production troubleshooting.\n, • Ability to communicate clearly across disciplines, sites, vendors, and time zones.\n, • Excellent team player with strong collaboration skills and a desire for learning and innovation.\n, • Comfortable working with external partners and manufacturing sites, including technical alignment with CMOs.\n Qualifications, Education and Previous Experience include:\n Requirements: \n \n • B.Sc. or higher in Electrical Engineering, Computer Engineering, or a related technical field.\n, • Minimum 5 years of hands‑on experience in ATE system integration, development, validation, deployment, and production support.\n, • Proven experience leading technical projects in a multidisciplinary engineering or manufacturing environment.\n, • Strong hands‑on expertise with hardware systems, embedded interfaces, networks, instrumentation, debugging, and system‑level integration.\n, • Strong hands‑on experience with National Instruments TestStand, automated test development, hardware integration, and production support environments, or equivalent automated test platforms.\n, • Proficiency in Python and test automation development, including debugging, tool creation, data processing, and system integration.\n, • Strong analytical skills for test data analysis, failure investigation, process improvement, and yield optimization.\n Advantage:\n \n, • Experience working with Linux‑based systems, command‑line tools, and SQL databases in engineering or manufacturing environments.\n, • Experience with manufacturing databases, production data pipelines, and engineering data analysis tools.\n, • Experience with hardware communication protocols such as I2C, SPI, UART, Ethernet, or similar embedded and instrumentation interfaces.\n, • Experience with automated instrumentation, fixture design considerations, tester safety, calibration, and production maintainability.\n, • Knowledge of server, platform, and test‑station management in production environments.\n, • Experience working with subcontractors, external vendors, CMO production teams, and procurement processes for tester or prototype parts\n \n #J-18808-Ljbffr

\n Vice President, Medical\n Department: Sector \n Employment Type: Permanent - Full Time \n Location: Cambridge Description Who we are\n Sagentia Medical is a specialist science and engineering consultancy supporting MedTech companies across diagnostics, surgical, interventional and other medical devices. Working across the full R&D lifecycle - from early-stage concept development to product realisation and launch - we help organisations reduce innovation risk and deliver solutions that meet clinical and user needs. Sagentia Medical is part of Science Group plc. The opportunity\n We are looking for a senior commercial individual with a background in healthcare/medical device innovation and R&D to join Sagentia Medical’s dynamic and growing team in our Harston (Cambridge) or Epsom office. Reporting into the Managing Partner, you will play a key role in contributing to the continued growth and success of the business. To be successful in this role you will lead business development and client relationship management activities drawing upon your R&D / MedTech background. You will provide input to our strategy and will ultimately be responsible for profitable sales and successful project delivery within nominated accounts and sub-sector marketing campaigns. You will have the opportunity to travel overseas to visit and work with our clients; it is expected that you will be travelling around 20% of your time (US, Europe and Asia). Key Responsibilities Account management, within a set of nominated key accounts:\n \n • Act as main point of contact between Sagentia Medical and client account.\n, • Network widely to maximize exposure to Sagentia Medical within the client’s organization\n, • Seek opportunities within target accounts to grow additional revenue streams for Sagentia Medical.\n, • Maintain sales and revenue forecast\n, • Responsible for client communication on commercial matters; ensure issues are addressed that are raised by the client or by Sagentia Medical.\n Business Development within the medical industry\n \n, • Collaborate with Business Development Managers within the team; source new sales leads through proactive sales & marketing activities.\n, • Visit prospects to identify potential client needs sell the value proposition of Sagentia Medical.\n, • Own and coordinate the writing and delivery of compelling sales & marketing material (e.g. discussion documents, proposals, case studies, capability decks)\n, • Take direct ownership of the sales process, including specifically the closing of sales opportunities contributing to the growth of the sales pipeline\n, • Responsible for reviewing proposals and project deliverables prior to client release\n Technical/Clinical Domain Leadership within specific market sub-sectors\n \n, • Establish areas of opportunity within specific market sub-sectors, working with our marketing team\n, • Take lead on messaging and speak at events on key thought leadership topics\n, • Feedback market information to the technical & marketing teams to support product and service development\n Contract management\n \n, • Responsible for negotiating contracts; work with the Managing Partner and the Group’s executive team as appropriate\n, • Demonstrate commercial and business awareness and manage situations effectively that will enhance the brand and perception of Sagentia Medical\n Oversee project delivery\n \n, • Oversee and where necessary provide high level contribution to project delivery ensuring it meets client requirements\n, • Link client stakeholder needs with technical delivery of project and where appropriate translate technical delivery into client language\n, • Where appropriate lead delivery meetings/facilitate workshops etc.\n Skills, Knowledge and Expertise\n \n, • Degree qualifications to Masters/PhD level from an Engineering or Science background preferred; MBA would be beneficial\n, • Experience of R&D and an understanding of medical device development. In particular, knowledge of the product development life cycle of surgical devices and robotics, in vitro diagnostics, drug delivery, neurotech, digital/connected health, imaging devices or medical software would be of particular interest.\n, • Approximately 10+ years post education work experience\n, • Experience of operating at a senior level (CXO, VP or R&D Director) within large blue chip corporates and startups\n, • Experience in delivering against defined sales and business development targets\n, • Evidence of success in building a rapport and trust in customers\n, • Experience of new product/device introduction\n, • Experience of operating with both European and US organisations/markets would be highly desirable.\n Benefits Career development\n We are committed to career development and make a focused effort to offer bespoke training and mentoring to allow each individual to thrive within their environment and realise personal potential. Benefits\n We offer a highly competitive salary and benefits package \n #J-18808-Ljbffr

We are seeking an ambitious Research Engineer to work at the intersection of machine learning and CPU microarchitecture on the Kirin CPU Team at Huawei R&D UK (Cambridge). You will use reinforcement learning, LLM agents and learned models to discover and validate improvements for next-generation out-of-order CPU cores, including agentic systems that turn research papers into simulated, measured results. This role suits someone early in their career who is equally comfortable in a cycle-accurate simulator and a training loop, and who has built systems from scratch because they wanted to understand how they work., • Build RL, Bayesian and LLM-agent-driven design-space exploration over gem5 and cycle-accurate models, using fast simulation for broad search and detailed models to validate the shortlisted candidates., • Develop agentic pipelines that read architecture papers, implement the proposed mechanisms in simulators, run experiments and verify results, including the reward design, sandboxing and checks that catch invalid or reward-hacked outcomes., • Train surrogate and ML performance models that predict IPC and PPA impact and reduce simulation cost., • Characterise emerging workloads on CPUs, such as on-device LLM inference, matrix and vector extensions, and KV-cache memory behaviour, and translate the findings into microarchitecture proposals., • Attribute performance bottlenecks as hardware-fixable, software-fixable or joint, and work with compiler, runtime and kernel engineers on co-design solutions., • Turn strong results into patents, internal reports and, where appropriate, publications. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. • Degree in Computer Science, Computer Engineering, Electrical Engineering or a related field (BSc, MSc or PhD), or equivalent practical experience., • Solid understanding of out-of-order CPU microarchitecture, including speculation, branch prediction, prefetching, caches and the memory hierarchy., • Strong C++ and Python., • Hands-on depth in at least two of the following:, • Architectural or cycle-accurate simulation (gem5, ChampSim, Scarab or similar), • Reinforcement learning or model training and post-training (PPO, GRPO or similar), • LLM agent systems and tool-driven automation, • Compilers or low-level performance kernels (LLVM/MLIR, CUDA/Triton, SIMD), • Evidence of building a non-trivial system end-to-end, such as an open-source project, a simulator extension, a compiler, a runtime or a tool you designed yourself., • Rigorous experimental methodology and the ability to read research papers critically., • PhD (completed or in progress) in computer architecture or ML systems., • Publications at ISCA, MICRO, HPCA or ASPLOS, or at MLSys, NeurIPS or ICML., • Experience with ML-based prefetchers or branch predictors, including CBP or DPC championship entries., • Familiarity with ARMv9 (SVE2, SME2) or RISC-V., • Understanding of the hardware cost of microarchitecture features (storage, timing and power), without RTL design responsibility., • Open-source contributions to gem5, ChampSim, LLVM/MLIR, or your own language, runtime or ML framework. Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: • Staying customer-centric,, • Inspiring dedication,, • Persevering,, • Growing by reflection., Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. #J-18808-Ljbffr

We are looking for a Senior Security Software Developer that applies subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to junior level employees. Leads multiple feature development or software applications with internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. Manages and expands relationships with internal and outsourced development partners on software applications design and development. Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Provides domain-specific expertise and overall software applications leadership and perspective to cross-organization projects, programs, and activities. Drives innovation and integration of new technologies into projects and activities in the software applications design organization. Provides guidance and mentoring to less- experienced staff members. Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically 6-10 years' experience. Experience in building solutions from the ground up. Experience in successful delivery for products to the market Proficient in multiple software development tools and languages, with a strong focus on programming with either C/C++, C#, .NetCore, WPF, XAML. Experience with unit testing methodologies. Understanding of Agile principles needed and experience working in tools like ADO. Understanding of design for software applications running on multiple platform such as Windows. Good knowledge of the Windows registry, Certificates, file and folder security, local/domain user security and general operating system Hands on knowledge on Windows programming (multi-threading, sockets, etc.), and Windows application development Skilled in Troubleshooting and resolving complex Application issues Self-starter with desire to work across a variety of technology stack and challenges Excellent analytical and problem solving skills. Experience in overall architecture of software applications for products and solutions. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels. Prior knowledge with software security principles and cryptography Plus Experience working with ReactJS, Python, Django, GO / Rust, Xamarin Some knowledge of the following technologies: WMI, COM, networking, concurrency, databases, code optimization/performance testing Experience developing responsive web applications using JS Frameworks, HTML5, CSS HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Job - Software Schedule - Full time Shift - No shift premium (United Kingdom) Travel - Relocation HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights under the law here: "Know Your Rights: Workplace Discrimination is Illegal" #J-18808-Ljbffr

Senior Software Engineer, Core AI ServicesAVEVACB3 0HBCambridge Science ParkFull timevia WorkdayPosted 21 Sep 2026Apply on aveva.com →AVEVA is creating software trusted by over 90% of leading industrial companies.Senior Software Engineer, Core AI Services Location: Cambridge, United Kingdom (hybrid) Employment type: Full-timeThe job We are looking for a passionate Senior Software Engineer to join our Core AI Services team at the forefront of industrial AI Innovation. In this role, you will help design, develop, and scale AI-enabling platform services, agentic workflows, and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem.If you are a motivated engineer who is energized by the challenge of building scalable platform services and clean APIs for modern AI workloads, we want to talk to you.Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility of a startup. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software.Key Responsibilities:• Design, build, and maintain scalable, fault-tolerant cloud-native services on Microsoft Azure.• Develop secure, well-documented public APIs and SDKs for consumption by internal engineering teams and external partners.• Drive feature implementation from design to production, taking ownership of code quality, performance, and system reliability.• Partner with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration layers, and service APIs.• Embed robust security controls, identity management, and privacy-by-design practices across all AI services.• Actively contribute to design reviews, code reviews, and technical discussions to champion engineering best practices.• Support and mentor junior and mid-level developers, fostering a culture of continuous learning and innovation.Core Skills and Qualifications:• 5–8+ years of software engineering experience across the full stack, with strong expertise in cloud-native backend development (.NET C# a plus).• Hands-on experience with containerized deployments in Kubernetes.• Deep understanding of RESTful API design, versioning, testing, and full lifecycle management.• Strong knowledge of securing APIs (OAuth2, OIDC, RBAC) and implementing data privacy best practices.• Proficiency in using modern AI-assisted development tools (e.g., GitHub Copilot) to accelerate daily engineering workflows.• Strong problem-solving abilities, with a track record of analysing complex technical challenges and delivering scalable solutions.• Experience working in Agile/Scrum teams across distributed global R&D locations.• Proven ability to mentor colleagues and elevate team code quality. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it is the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems, join us.Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: aveva.com/en/about/careers/r-and-d-careers/UK Benefits include: Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

Senior Full-stack Engineer, Core AI ServicesAVEVACB3 0HBCambridge Science ParkFull timevia WorkdayPosted 21 Sep 2026Apply on aveva.com →AVEVA is creating software trusted by over 90% of leading industrial companies.Job Title: Senior Full-stack Engineer, Core AI Services Location: Cambridge, United Kingdom (Hybrid) Employment Type: full-timeThe job We are looking for passionate Senior Software/Full-stack Engineers to join our Core AI Services team at the forefront of industrial AI Innovation. In this role, you will help design, develop, and scale AI-enabling platform services, agentic workflows, and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. Working at the forefront of agentic systems and harness engineering, you will join an agile Scrum team with a true builder mindset—delivering innovative, secure, and production-grade AI capabilities with the agility of a startup. This role is ideal for an engineer with a genuine passion for keeping up with the latest AI engineering patterns and practices, eager to translate emerging tech into reliable, enterprise-ready software. Key Responsibilities:• Design, build, and maintain scalable, fault-tolerant cloud-native services on Microsoft Azure.• Develop and maintain clean, responsive web user interfaces and developer tools using Angular to complement core AI platform services and public APIs.• Develop secure, well-documented public APIs and SDKs for consumption by internal engineering teams and external partners.• Drive feature implementation from design to production, taking ownership of code quality, performance, and system reliability.• Partner with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration layers, and service APIs.• Embed robust security controls, identity management, and privacy-by-design practices across all AI services.• Actively contribute to design reviews, code reviews, and technical discussions to champion engineering best practices.• Support and mentor junior and mid-level developers, fostering a culture of continuous learning and innovation. Core Skills and Qualifications:• 5–8+ years of software engineering experience across the full stack, with strong expertise in cloud-native backend development (.NET C# a plus) and modern web frameworks (Angular).• Hands-on experience with containerised deployments in Kubernetes.• Deep understanding of RESTful API design, versioning, testing, and full lifecycle management.• Strong knowledge of securing APIs (OAuth2, OIDC, RBAC) and implementing data privacy best practices.• Proficiency in using modern AI-assisted development tools (e.g., GitHub Copilot) to accelerate daily engineering workflows.• Strong problem-solving abilities, with a track record of analysing complex technical challenges and delivering scalable solutions.• Experience working in Agile/Scrum teams across distributed global R&D locations.• Proven ability to mentor colleagues and elevate team code quality. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it is the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems, join us.UK Benefits include: Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

Does it excite you to work at the frontier of antibody and binder discovery, and do you have hands‑on experience with yeast surface display technology? If this sounds like you, and you are ready to help build a new discovery platform from the ground up, then you could be our new colleague. As a Scientist or Senior Scientist in Yeast Surface Display, you will play a central scientific role in our new Molecular Platform Development organization, driving antibody, VHH, and other mini‑protein and binder discovery through yeast display technology. You will help build and operate a modern, high‑throughput display platform at the inception of our new Cambridge, MA research center. This role suits a scientist with strong technical expertise across the full yeast surface display workflow, scientific curiosity, and a desire to grow in scope and responsibility. • Execute the full yeast surface display workflow, from library construction and transformation through magnetic bead and FACS‑based selections, generating antibody, VHH, affibody, constrained peptide, and other mini‑protein binders, • Conduct display selections against complex and challenging targets, including GPCRs, other multi‑pass membrane proteins, and receptor complexes, • Design and execute affinity maturation and selection strategies to improve binder affinity, specificity, and developability, • Apply next‑generation sequencing (NGS) to track library diversity, monitor selection enrichment, and identify lead clones from display campaigns, • Contribute to the development and application of yeast surface display capabilities within Molecular Platform Development, • Partner closely with Mass Spectrometry, Biophysics, and Pharmaceutical Development colleagues to validate hit quality, sequence fidelity, and developability early in selection campaigns You bring strong technical expertise across the full yeast surface display workflow, along with scientific curiosity and sound judgment. You thrive in a collaborative, multidisciplinary environment and are motivated to help shape a new platform and research center from an early stage. You communicate scientific data and concepts clearly and work effectively across cross‑functional project teams. • PhD in Protein Engineering, Immunology, Molecular Biology, Biochemistry, or a related field preferred (postdoctoral training preferred); candidates with a BS/MS and significantly more relevant industry experience will also be considered, • 2+ years of relevant post‑degree experience in yeast surface display or related antibody/protein discovery technologies (Scientist); 4+ years (Senior Scientist), • Experience with antibody, VHH, affibody, constrained peptide, and other mini‑protein or binder formats, • Experience conducting display selections against complex targets, such as GPCRs, other multi‑pass membrane proteins, or receptor complexes, is a plus, • Experience applying next‑generation sequencing (NGS) to analyze display library diversity and selection enrichment; familiarity with associated bioinformatics is a plus, • Familiarity with phage display or other in‑vitro/in‑vivo display technologies, and with protein expression, purification, and analytical characterization sufficient to support binder validation You will join Molecular Platform Development, a new organization created to strengthen and advance diverse drug modality capabilities in metabolic disease, based at our new Cambridge, MA research center. The site is a highly collaborative, multidisciplinary discovery hub integrating computational research, chemistry, and biology, and is deeply connected to the Greater Boston life sciences ecosystem. We have a unique culture, characterized by excellent teamwork and strong engagement across the organization. And we want you to help us strengthen this culture. Making bonds is at the core of everything we do. From discovering and developing the best new peptide drugs for patients, to engaging with our partners or connecting with each other. We bond through curiosity and playfulness as a team, allowing ourselves to challenge common thinking and drive future innovation. Join us and let’s bond and be bold. Salary Range: $125,000 - $170,000 We are committed to an inclusive recruitment process and welcome applications from all job applicants. Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data‑driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma‑invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late‑stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Cambridge, Massachusetts. Learn more at www.zealandpharma.com. #J-18808-Ljbffr

Ailux is an innovative biotechnology company focused on discovering and developing next-generation biologic therapeutics for chronic respiratory and immunological diseases with high unmet medical need. The company integrates advanced computational approaches with rigorous experimental and translational science across the drug discovery continuum, enabling faster and more informed decision-making from target identification through clinical candidate selection. As an AI-native biotech and wholly owned subsidiary of XtalPi, Ailux combines proprietary computational models with state-of-the-art wet lab capabilities to design differentiated therapeutics against challenging biological targets. The company has established strategic partnerships with leading pharmaceutical organisations, providing external validation of its scientific platform and discovery capabilities. Looking ahead, Ailux’s vision is to build a fully integrated, end-to-end drug discovery and development organisation capable of delivering the next generation of medicines for patients with chronic respiratory and immunological diseases. By combining advanced AI capabilities with deep biological, translational and clinical insight, the company aims to accelerate the development of differentiated therapeutics with meaningful impact for patients worldwide. Backed by an experienced leadership team, leading scientific advisors and a highly multidisciplinary organisation, Ailux is approaching a key inflection point as its first wave of therapeutic programmes advances toward clinical development. This is an opportunity to help shape the scientific foundations, pipeline and culture of a rapidly growing biotechnology company operating at the intersection of AI, translational science and next-generation therapeutics. The Head of Translational Medicine & Biomarker Discovery (TMBD) is a senior scientific leadership role responsible for translating biological insights into clinical development strategies and patient-focused outcomes across the Ailux pipeline. The role provides strategic and scientific leadership across translational medicine, biomarker discovery and development, human target validation, target engagement, mechanism of action (MoA), and precision medicine and reports in to the Head of Translational Research. The Head of TMBD will ensure that robust, integrated translational strategies are established and executed across portfolio programmes, enabling high-quality decisions throughout the drug development lifecycle and increasing the probability of clinical and regulatory success. A key focus of the role is to establish and deliver fit-for-purpose biomarker strategies, from discovery through clinical deployment. This includes identifying and validating biomarkers that demonstrate target engagement, elucidate MoA, support patient selection and stratification, monitor pharmacodynamic effects, and inform clinical decision-making. The Head of TMBD will also lead the Biomarker Discovery and Assay team, driving the application of innovative and contemporary molecular technologies to identify, develop and operationalise clinically relevant biomarkers. The role will foster a culture of scientific excellence, innovation and collaboration, ensuring that emerging technologies are effectively translated into meaningful drug development applications. The role has accountability for the legally compliant, ethical and efficient management and use of human biological samples (HBS) across translational activities. This includes establishing appropriate sampling strategies within clinical development plans, ensuring operational feasibility for biomarker interrogation, maintaining robust governance and SOPs, and acting as the organisational focal point for HBS-related activities. As a member of the transitional leadership team, the Head of TMBD will contribute to the development and implementation of Ailux’s broader translational strategy and provide expert scientific leadership across multidisciplinary project teams. • Develop and execute integrated translational science strategies from early discovery through clinical development., • Design and implement clinical biomarker strategies to guide decision-making, dose selection, risk mitigation, and patient stratification., • Provide scientific expertise on human target validation, mechanism of action (MoA), target engagement, and clinical sampling strategies., • Lead the Biomarker Discovery and Assay team in identifying, validating, and deploying target engagement and pharmacodynamic assays for clinical studies., • Drive the application of innovative molecular technologies to accelerate biomarker discovery and translational insights., • Integrate laboratory-based biomarker data with pharmacology and clinical datasets to inform programme decisions., • Provide strategic scientific guidance across multidisciplinary project teams and serve as a subject-matter expert across Research and Development., • Build external collaborations with academic institutions, biotech/pharma partners, and experts., • Manage, mentor, and build organizational capabilities within the translational medicine team., • Own the governance and operational framework for the compliant, ethical, and efficient use of HBS., • Establish HBS sampling strategies within clinical development plans, maintaining SOPs and providing team training., • Oversee the collection, processing, storage, and biobanking of HBS in compliance with legal, ethical, and regulatory standards., • Ensure team compliance with GLP, GCP, HSE, internal policies, and external regulations., • Identify and mitigate scientific, operational, and regulatory risks across translational activities., • Education & Experience: PhD (or equivalent) in a relevant scientific discipline with 10+ years in pharmaceutical R&D and drug development., • Domain Expertise: Deep knowledge of immunology and/or respiratory disease biology, therapeutic mechanisms, and clinical development., • Translational & Biomarker Leadership: Proven track record in developing translational/biomarker strategies, leading laboratory assay development, and deploying assays into clinical trials., • HBS & Governance: Strong understanding of regulatory, ethical, and operational requirements for Human Biological Samples., • Leadership & Collaboration: Demonstrated experience leading scientific teams, managing external collaborations, and communicating effectively with senior leadership., • Experience in precision medicine, patient stratification, or companion diagnostics (CDx)., • Track record of taking biomarkers from discovery through analytical validation to clinical implementation., • Hands-on experience with advanced molecular profiling technologies (e.g., multi-omics)., • Experience supporting regulatory submissions/interactions or working in a fast-paced biotech environment. #J-18808-Ljbffr

SRG is recruiting a Senior Computational Scientist / Bioinformatician to join a clinical cancer genomics company in Cambridge on a hybrid basis. The role focuses on developing bioinformatic algorithms and pipelines and prototyping data analysis solutions for early R&D. Initial 9–12 month contract with potential to become permanent. The candidate will work on computational analyses of assay prototypes, including NGS-based data, and will lead the first implementation of bioinformatics pipelines #J-18808-Ljbffr

Radio communications is at the heart of much of what Cambridge Consultants does, and in this role you will be joining an established team of commercial and technical leaders working with clients delivering projects into the Defence and National Security sector. In this market we architect a range of both standards based and fully custom radio systems for a wide range of applications including low power long range systems and highly flexible high-performance software defined systems. Our work involves significant collaboration with clients, working together to help innovate the best approach to what can be very challenging requirements. In the early stages of a client engagement, we need to be ambitious and bold, we need to think laterally, apply system design and modelling skills and embrace early experimentation and field measurements, if useful. Overall though, we need to quickly work through the challenges and create a plan to deliver the client the most impactful solution in the most efficient way possible. To do this well, the successful applicant needs to have strong and broad radio communications experience, enjoy spending time client facing, have imagination and most importantly have a strong “can do” attitude and preferably sector experience. You will often work with our account managers to define work programmes and our commercial approach to help win work. You will be able to work on your own initiative and develop programmes of work from early stage to deployed capability. Developing key client relationships and repeat business built on trust is the cornerstone of our commercial approach and your responsibilities will include an important element of client management during project delivery. • Be a strong subject matter expert in the field of RF communication systems, • Work with our broader team to provide input to bids and delivery of projects, • Maintain strong technical relationships with key individuals within client and potential client organisations to enable further sales opportunities, • Interact with teams across the whole of Cambridge Consultants to bring the best technology to our clients to solve their problems You will also use your strong technical skills to communicate what Cambridge Consultants can deliver to potential clients. Your background skills will also help you to make a significant contribution to the overall direction of development projects, often working on multiple projects at a time. Our technical team is based in Cambridge and there will be significant travel in the UK. This role is for an experienced radio communication system engineer who has a strong understanding of: radio propagation, radio system design, protocol design and radio system implementations. You will play a leading role in a team of technical and advisory colleagues to solve the client’s problem. This is a technical delivery role for somebody with great client facing skills. Your career will already have included significant experience in an R&D or design role. You will probably also have had some exposure to the commercial side of projects. Previous experience of working in a consultancy, government agency or other ‘fee for service’ organisation would be an advantage. To meet the requirements of this role you will have: • Excellent radio engineering skills and experience, • A passion for innovative technology solutions and for solving complex problems, • An understanding of what’s important to our clients, • Experience working with clients in the UK Defence & National Security sector The Defence and Security Business Unit specialises in the design and development of innovative solutions for specific client needs. Often projects start with requirements analysis of complex issues informed by our collective domain knowledge and evolve through technology to develop prototype manufacture and long-term delivery of equipment and services. The projects always incorporate considerable technical challenges. We work across the lifecycle, from research to deployment. Our workforce has broad expertise in the fields of Artificial Intelligence, sensing and data analytics & signal processing as well as radio frequency engineering, analogue electronics, embedded and high-level software development, mechanical design, physics and mathematics so we can and do develop complete systems for clients. Communications – and especially secure communications – are central to what we do. Our teams build bespoke communication systems for a wide range of applications, sometimes based on industry standards and sometimes custom from the ground up. Likewise, radio systems for force protection is a major area, and our experience extends to systems that support people working to defuse Improvised Explosive Devices (IEDs) in the field today – and we are working on future solutions to counter ever-changing threats. Cambridge Consultants creates exciting and novel breakthroughs in technology and products. We help our clients achieve the kind of game-changing leap forward that will transform their whole business. At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients. We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. #J-18808-Ljbffr

i2 Group, a Harris Computer company, is seeking a Platform Software Engineer on a full-time, permanent, remote basis with a monthly requirement of attending the i2 Group offices in Cambridge. The Platform team solves one of the harder problems in software delivery: getting the same product to work correctly on a developer's laptop, a cloud cluster, a multi-node on-premise deployment, and a fully air-gapped system. None of those environments are ones we control once deployed, and loose intent produces different results on each of them. The job is deciding precisely what has to be true everywhere, and then building it. Alongside customer-facing delivery, the team builds the internal platform capabilities that let our R&D teams self-serve infrastructure and software. It is our second priority and the area where our AI-first workflows have moved fastest. We are a small team, working closely with Architects, UX Designers, and Product Managers. We are looking for engineers who can define, design, and build platform capabilities, rather than simply maintain them. We are AI-first. The bottleneck has shifted from writing to thinking, the AI writes the code, you own the decisions that shape it. If you have worked this way before, you'll recognise the workflow immediately. If you haven't, it's a shift in how you think about your time. Your focus is on the decisions, not the code that expresses them.Deep expertise in a specific tool stack matters less than it once did. What counts is knowing what good looks like — enough domain awareness to write a meaningful spec, ask the right questions, and develop an instinct for where AI helps, where it misleads, and when not to trust it. Whether you come from an AI-first background or a platform engineering background, you are welcome here. The AI-first developer brings rigour and reasoning; the platform engineer brings domain knowledge and an instinct for what good looks like. Either way, we'll help you get there. The precision described above is not a separate activity from delivery — it is how we deliver. In practice the role covers: • Designing, building, and maintaining the software and tooling used to deploy, configure, and operate i2's products across desktop, single-box, on-premise, and cloud targets, • Building production-grade container images and the interfaces they expose to hosting platforms, • Owning the deployment and upgrade story for stateful distributed components, including recovery paths from shapes already shipped to customers, • Delivering releases to customers across diverse and often restricted environments, and supporting the upgrade paths from what is already in the field, • Developing internal platform capabilities that let R&D teams self-serve infrastructure and software, • Maintaining and improving CI/CD pipelines and internal developer tooling, • Instrumenting deployments and the delivery pipeline so that decisions are made on data, • Contributing to architectural decisions, validating that what gets built matches what was specified, and owning the quality of AI-generated output, • Owning the testing strategy for deployments The things we care most about are the ones that are hardest to teach: a spec-first way of working, design thinking, and the judgement to know when something that looks right is not. Specifically: • You can take a vague requirement, interrogate it, record the decision and its trade-offs, and define the test that would prove it wrong, • You can decompose a system into components with clear responsibilities, decide where a boundary belongs, and be concrete about what crosses it and how it is authenticated, • You are AI-first or ready to commit to it — not just willing to try it alongside your existing workflow, • Cloud deployment and Infrastructure-as-Code — you have built deployments on a major cloud and understand the tooling, • You have the judgement to recognise when AI output is wrong — a plausible implementation that quietly violates a security invariant, or a port that looks correct and is not, • You are comfortable working in technologies and deployment topologies you have not encountered before, and you learn them quickly The technical depth we look for sits alongside those traits, not above them. We want experience in platform or software engineering in a commercial environment — enough exposure to deployment and operational concerns to write meaningful specs and validate AI output against them: • Experience shipping software to structurally different deployment targets; you understand why they differ, not just that they do, • Container technology: you have built and shipped production-grade images, not just run them locally, • Cloud deployment and Infrastructure-as-Code: you have worked with AWS and understand the tooling, • Application security: you understand trust boundaries, identity models, and secrets handling, • CI/CD pipelines: you have built and maintained them, not just consumed them, • You can work effectively with engineers, architects, and non-technical stakeholders, • The role may require UK national Security Check (SC) vetting;, • candidates must be eligible for and willing to undergo this if needed., • Bachelor's degree in software engineering or a related discipline, or equivalent experience These are the technologies you will be working with day to day: • AI coding tools (e.g. GitHub Copilot, Claude Code, Cursor) as the primary development workflow, • AWS today, with Azure and Google Cloud planned, • Infrastructure as code: AWS CDK and CloudFormation, • CI/CD with CircleCI and internal developer tooling, • Docker and production image pipelines, • Deployment tooling for Windows and Linux, including desktop installer and packaging, • Ansible for configuration management, • Python, • AWS or Azure certification in one or more disciplines, • FastAPI, React, or TypeScript, for internal developer tooling and portals i2 Group is the global leader in advanced visual analysis solutions. We empower analysts and investigators to discover, create, and disseminate actionable intelligence to combat threats including crime, terrorism, war, and fraud. Our software helps analysts transform data in real time, enabling customers to detect, disrupt, and defeat sophisticated threats across law enforcement, fraud and financial crime, military defence, and national security. • 25 days holiday + 5 Personal Days leave + bank holidays, • Private health and dentalcare, • Employee share options Our recruitment process comprises interviews and, at times, a written exercise, an assessment day, and/or a presentation. As an equal opportunities employer, we want to do all we can to make this a positive experience for you. If your application progresses, please make us aware of any adjustments or additional support we can provide. #J-18808-Ljbffr

• Produce detailed user stories that capture electrical engineering requirements and support high-quality product deliverables, • Manage and refine the product backlog so business and customer requirements are clearly documented and prioritised, • Ensure user stories include enough detail to support accurate estimation, development, and comprehensive test scenarios, • Engage with internal and external reference groups, customer workshops, and Voice of Customer discussions to gather and validate requirements, • Participate in sprint ceremonies to communicate status, demonstrate deliverables, and support validation of the product vision Degree-qualified, or equivalent experience, in Electrical Engineering or a closely related discipline • Proven industry experience in electrically intensive sectors such as process plant, power generation and distribution, marine, oil and gas, food and beverage, or similar regulated industrial environments, • Proven experience in leading a team to deliver effective projects or programmes., • Strong understanding of industrial electrical systems, including LV/MV/HV distribution, control systems, and instrumentation interfaces as they relate to CAD-based design workflows, • Experience producing, reviewing, or issuing electrical design deliverables such as:, • + Single-line diagrams, • + Schematic and wiring diagrams, • + Cable schedules, • + Equipment layouts, • + Panel drawings and termination drawings, • Good knowledge of electrical engineering standards, codes, and working practices, such as IEC, BS, IEEE, project standards, or client specifications, • Practical knowledge of design lifecycle management, including document control, revision management, and handover requirements within electrical projects, • Ability to use electrical engineering expertise to deliver fit-for-purpose product capabilities that create customer impact, • Knowledge of ETAP or similar power system analysis and simulation tools is an advantage., • Curiosity to learn from customers, industry practice, and internal teams to evolve electrical design workflows and product adoption, • Clear and reliable communication, with the ability to build trust and deliver standards-aligned outcomes across technical and non-technical stakeholders Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ UK Benefits include: • Flexible benefits fund, • emergency leave days, • adoption leave, • 28 days annual leave (plus bank holidays), • pension, • life cover, • private medical insurance, • parental leave, • education assistance program Find out more: aveva.com/en/about/careers/benefits/ Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

With our strong investment in research and development and our culture of continuous improvement, Hexcel is the industry leader in the manufacturing of advanced lightweight composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and engineered core and composite structures. We invite you to join the Hexcel team at various manufacturing sites, sales offices, and R&D centers around the globe. Become a part of the “strength within.” Hexcel is currently seeking a Head of Operations for our Duxford, UK location. Hexcel seeks individuals who embrace our values – putting safety first, always; leading with integrity, delivering quality; One Hexcel; improving today, better tomorrow. • Lead manufacturing operations to ensure safe, efficient, compliant production that meets customer and business requirements., • Develop and deliver operational strategies to achieve production, quality, cost, delivery, safety, and performance targets., • Drive continuous improvement through Lean, Six Sigma, root cause analysis, waste reduction, and operational excellence initiatives., • Provide strategic leadership for Quality Assurance and Quality Control, ensuring compliance with customer, regulatory, and quality standards., • Maintain and improve the Quality Management System (QMS), leading audits, investigations, and corrective actions., • Collaborate with cross-functional teams to optimise manufacturing performance, resource utilisation, and business growth., • Lead workforce capability, training, succession planning, and leadership development to build organisational resilience., • Champion a strong health, safety, environmental, and compliance culture, ensuring legal and regulatory requirements are met., • Provide visible leadership to Manufacturing, Quality, Training, and Continuous Improvement teams, fostering accountability and engagement., • Manage operational budgets and KPIs, improving profitability through efficiency, cost control, and strategic investment decisions., • Degree qualified in Chemical Engineering, Manufacturing, Operations Management, or a related discipline., • Significant senior leadership experience within a composite materials or chemical manufacturing environment., • Proven success leading integrated manufacturing teams and driving cross-functional collaboration., • Strong track record of improving safety, quality, productivity, cost efficiency, and customer service., • Extensive knowledge of manufacturing processes, operational excellence, Lean Manufacturing, Six Sigma, and continuous improvement methodologies., • Strong understanding of Quality Management Systems (QMS), regulatory compliance, audits, root cause analysis, and quality laboratory functions., • Proven ability to develop and deliver operational strategies aligned to business objectives and measurable outcomes., • Strong commercial and financial acumen, including budget management and cost control., • Demonstrated success leading organisational change, transformation, and performance improvement initiatives., • Excellent leadership, communication, stakeholder management, coaching, and talent development skills, with a commitment to safety, quality, accountability, and continuous improvement., • Candidates must be eligible to work in the country where the position is based. Hexcel (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry. #J-18808-Ljbffr

We are looking for a Senior Embedded Software Engineer - Robotics to write the code that brings our robots to life. Every instrument SPT Labtech ships from nanolitre-precision liquid handlers to fully automated sample management systems. This depends on firmware that drives motors with absolute precision, reads sensors in real time, and keeps complex robotic systems running reliably in labs around the world. In this role, your embedded C++ on ARM Cortex-M sits at the very heart of our products: you'll design motor and actuator control, integrate robotic hardware over CAN and Ethernet, and shape the firmware architecture of our next generation of laboratory automation. Technology that directly accelerates scientific discovery and improves human health. This is an office and lab-based role at our Melbourn site, near Cambridge. Based in Cambridge,SPT Labtechmakes products that transform the way scientists work. For decades, our expert scientists, engineers and business innovators have provided scientists with world-leading, innovative solutions for liquid handling, sample preparation, and sample management that help accelerate research and make a real difference to human health. We work collaboratively with our customers, building trusted relationships that enable us to deliver exceptional, personalised experiences designed for real-world challenges in the lab. Want to be part of a team that's truly making a difference? You'll join a multidisciplinary R&D team where software, electronics and mechanical engineers sit side by side and designs come together in the lab, not just on paper. Day to day, you will: • Design, develop and maintain embedded software in C++ for ARM Cortex-M series microcontrollers — firmware that ships inside real instruments., • Implement motor and actuator control across open-loop, closed-loop and hybrid schemes, working hand in hand with our electronics team on motor drives and robotic hardware., • Integrate OEM and third-party modules, barcode readers, thermal units, pneumatics and similar — over CAN, Ethernet, UART, SPI, I²C and GPIO, writing the device drivers that connect them into the system., • Shape the firmware and system architecture: module boundaries, interfaces and the communications that tie distributed microcontrollers together., • Contribute to the lower-level, device-facing C# .NET code on the PC side that talks to the embedded layer., • Implement signal acquisition and conditioning for the sensors and transducers fitted throughout each instrument., • Design in reliability from the outset, fault detection, diagnostics, recovery, watchdogs and built-in self-test, because our instruments run unattended in labs where results matter., • Troubleshoot and debug complex embedded software, hardware interfaces and robotics system issues, including on the CAN bus., • Provide technical leadership and mentoring to junior engineers, and help raise the bar for software development practice across the team., • Produce clear technical documentation: specifications, designs, architecture and user-facing material. You're an embedded engineer who thinks at the system level, comfortable reasoning about how distributed microcontrollers, timing and communications interact, not just single-component behaviour. You're a proactive self-starter and a sharp problem-solver with the persistence to chase an issue to its root cause, and you communicate clearly across software, electronics and mechanical disciplines. You take pride in firmware that is robust, diagnosable and built to run reliably for years in the field. • Solid commercial experience in embedded software or firmware development., • Strong, hands-on C/C++ on ARM microcontrollers (Cortex-M series or similar)., • Demonstrable experience contributing to firmware and system architecture, defining module boundaries and interfaces between components, not just implementing to an existing design., • Practical, hands-on experience implementing motor and actuator control in production hardware., • A track record of integrating third-party or OEM hardware modules, including their bespoke controllers, into a larger system., • Confidence working across CAN, Ethernet (TCP/UDP), UART, SPI, I²C and GPIO., • Working knowledge of C# .NET, sufficient for device-facing PC-side code., • Exposure to RTOS environments and standard embedded debugging tools such as oscilloscopes, logic analysers and protocol analysers., • A disciplined approach to reliability: fault detection, diagnostics and recovery mechanisms., • Comfortable with unit testing, continuous integration and version control (Git)., • Experience with JTAG/SWD debuggers and protocol analysers (CAN, Ethernet and similar) for hardware-level debugging., • Field-oriented control (FOC) experience., • Familiarity with gRPC or other distributed software architectures., • Experience working in Agile teams., • A degree in electronics, computer science or a related field, or equivalent experience., • We offer a competitive salary package and comprehensive, valued benefits, including private medical insurance, a generous pension plan, and an annual discretionary bonus. We embrace diversity and inclusivity, regardless of race, ethnicity, gender, gender identity, sexual orientation, physical ability, or family status. We prioritise supporting our employees' diverse needs as we strive for excellence together. #J-18808-Ljbffr

HP Wolf Security is transforming endpoint security through hardware-enforced protection, isolation technologies, and cloud-connected security services. Our solutions protect millions of users worldwide by integrating security directly into the hardware, firmware, and software of modern PCs. As part of the HP Wolf Security R&D organisation, you will help strengthen the security engineering practices that underpin our products, ensuring security is built into every stage of the software development lifecycle. We are looking for a Principal Security Software Engineer to lead improvements to Wolf Security's secure software development processes, helping the organisation meet the requirements of the European Union Cyber Resilience Act (CRA). This includes strengthening security-by-design, vulnerability management, software assurance, and the engineering evidence needed to demonstrate effective security controls. The role requires close collaboration with software engineering, product security, quality, and compliance teams. (see https://www.hpwolf.com/) • Lead the definition and delivery of improvements to Wolf Security’s secure software development lifecycle in line with CRA expectations., • Introduce better static analysis tools, improve their integration into development and build workflows, tune rules and policies, and help teams resolve the issues they identify., • Establish approaches for triaging findings, managing false positives, tracking remediation, and measuring security improvement., • Promote security-by-design and secure-by-default principles through threat modelling, design reviews, architectural guidance, and secure coding practices., • Improve the identification, assessment, documentation, and remediation of vulnerabilities throughout the software development lifecycle., • Provide technical leadership on complex security problems, make engineering trade-offs, and mentor engineers through constructive review., • Significant experience building, securing, and maintaining production software, ideally endpoint, security, or systems software., • Strong programming experience in C, C++, Rust, Python, PowerShell, or comparable languages., • Experience developing software for Windows and/or Linux, including operating-system, virtualisation, isolation, or other security-sensitive components., • Strong experience with code review, debugging, unit and integration testing, and modern build, continuous integration, and release workflows., • Practical experience selecting, integrating, configuring, or improving static analysis tools and resolving the issues they identify., • Ability to work effectively in a complex codebase and drive improvements to software quality, reliability, and security., • Experience applying secure software development lifecycle practices, including threat modelling, secure design, vulnerability management, and release governance., • Experience with vulnerability disclosure, severity assessment, remediation planning, and security updates., • Experience leading technical initiatives and influencing teams without direct line-management authority., • Excellent written and verbal communication skills, with a collaborative and pragmatic approach. This role is based in HP’s Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people‑focused senior role, regular in‑person collaboration is encouraged. HP has invested in a new, modern site, including ergonomic workspaces and well stocked kitchen facilities that included a wide selection of coffee. You’re out to reimagine and reinvent what’s possible- in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. HP Wolf Security is central to HP’s strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built‑in, enterprise‑grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers devices and data. The digital threat landscape is ever-changing and as the cyber security industry reacts and adapts to changes, so too do the malware authors. Our unique micro-virtualization technology ensures that customers are protected from even the most bleeding edge cyber security threats. That micro-virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our history: Inspired by the isolation principles of traditional virtualization, our team known then as Bromium, created a game-changing technology called micro-virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero-day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: https #J-18808-Ljbffr

Cambridge, UK Position Summary: This role will partner closely with Quotient’s drug development project leaders and matrix teams to translate their scientific strategy into robust, integrated drug development project plans, and drive flawless execution of Quotient’s early drug pipeline. This role is accountable for planning, execution, and coordination across functional teams (e.g., drug discovery, translational medicine, biology, drug development strategy, and finance) as well as external CROs and collaborators. The successful candidate will coordinate and run drug development matrix project meetings, maintain governance-ready dashboards and decision logs, oversee budgets, contracts, and resource needs, and readiness for key drug development review milestones. By leveraging subject matter experts across key Research and Development functions to develop end-to-end drug development plans and execution strategies, this role will provide operational and planning leadership to drug development matrix teams, manage risks and interdependencies, consider regulatory and compliance requirements, and support reviews for Quotient’s Executive team and Board of Directors. This role will also support the development of Quotient’s drug discovery pipeline strategy with scenario-based analyses based on landscape and competitive intelligence data. Given the close integration of Quotient’s proprietary genetics platform into the drug discovery process, this role will interface with research operations and strategy to build a seamless, end-to-end view of Quotient’s R&D pipeline. This role will report to the Chief Development Officer (CDO). The role could be based at Quotient’s UK or US site. Responsibilities: • With drug development matrix teams, support the translation of overarching drug development strategy and vision into integrated, detailed project plans (scope, milestones, critical paths, dependencies, risks) across functions., • Monitor progress versus plan; proactively identify issues and interdependencies, accelerate to project leads as needed, and coordinate cross-functional mitigation plans, • Schedule, structure, and run project team meetings (set agendas, pre-reads, minutes, action logs), track and drive closure of decisions and actions., • Build and maintain governance-ready views (dashboards, status summaries, decision logs) to enable Quotient’s Executive team and Board of Directors reviews, • Support SMEs in operational execution with external partners (e.g., CROs), ensuring deliverables, timelines, and obligations are clearly understood and met., • Support functional heads in forecasting and tracking resource needs (FTE, external partners) across projects and the pipeline, flag constraints and propose options., • Coordinate budgets closely with the VP of Finance and track spend vs. plan and contracted scopes., • Establish and maintain a structured risk and issue management process (identification, impact assessment, mitigation/contingency, owners, timelines)., • Support compliance with regulatory and quality expectations by organizing documentation and tracking contributions to regulatory submissions etc., • Maintain shared repositories (SharePoint, dashboards, trackers) for plans, data summaries, and decision histories to improve transparency and continuity., • Identify and implement continuous operational improvements to increase DD matrix team efficiency and focus on high-value scientific work., • Support the development of Quotient’s drug discovery pipeline strategy and, with members of Research Operations and Strategy, develop a holistic and end-to-end view of Quotient’s Research and Development pipeline. Qualifications: • Bachelor’s degree in biological sciences or related discipline, • Proven track record of applying project management methodologies in complex, matrixed environments; significant experience (typically 5–10 years) in drug development within pharmaceutical, or biotech industry settings, • Knowledge and experience in drug discovery and an understanding of the principles of clinical development, drug discovery, regulatory strategy, • Established expertise and hands‑on experience with project management tools (e.g. Microsoft Project, Smartsheet, or equivalent), Microsoft Office applications, and a working understanding of innovative AI and knowledge management technologies (e.g., ChatGPT, Claude, CoPilot, Notion etc), • Formal Project Management Qualifications (e.g. PMP or PRINCE2 certification), • Advanced scientific degree, • Demonstrated ability to think strategically and execute multiple projects simultaneously, • Experience with data, AI, or real‑world evidence initiatives, • Highly effective communication skills (verbal, written, and presentation) for a wide variety of audiences/stakeholders, including technical and business, • An appreciation of drug target research and/or genetic research workflows and how these interface with drug discovery workflows Values and Behaviors: • Encourage respectful disagreement and cultivate open‑minded, ego‑free interactions to continuously push each other towards excellence, • Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source, • Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions, • Use a company‑first mindset to guide decision‑making; prioritize team over individual success, • Take calculated risks and challenge convention in the quest for exceptional outcomes About Quotient: Quotient Therapeutics is a privately‑held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs. The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first‑in‑category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS). Privacy Notice for Applicants:When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI‑assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. #J-18808-Ljbffr

As a Rust expert, you will be responsible for developing software across a range of platforms and applications, from flight control systems to advanced radar processing. While much of this work sits at the embedded layer, we do not require applicants to have a traditional embedded engineering background. We are extremely interested in strong Rust developers who are keen to learn embedded systems and transition their expertise into this domain. • Identify and define the architecture of embedded software in conjunction with the wider engineering team, • Scope and expand our CI and automated testing and release infrastructure, • Build high-performance, deterministic and well-tested embedded systems with a view to accreditation, • Definition of interfaces between software elements (APIs) and over communications interfaces (protocols), • Excellent analytical, communication, and teamwork capabilities, • Experience in fast-paced R&D or startup environments, with rapid prototype iteration times, • Experience with bare-metal, RTOS (i.e., NuttX, ThreadX, RTIC, Zephyr, FreeRTOS, VxWorks, INTEGRITY), and embedded Linux, • Experience with STM32, Xilinx Zynq Ultrascale+, etc., • Experience with flight controllers, • Experience developing for safety-critical systems, i.e., avionics, medical or automotive, • Competitive compensation and stock options, • Private Medical & Dental, • Cycle to work scheme The mission of Cambridge Aerospace is to eliminate the risk of existential war in Europe. That risk comes from the air – low-cost drones and cruise missiles now manufactured in colossal volumes by our adversaries, ballistic missiles capable of ending the world as we know it, and a new generation of hypersonic weapons that evade every existing defence. We’re building low-cost interceptors that defeat these threats, and the surveillance systems to detect and target them – at a cost taxpayers can afford, at the pace the threat demands, and with sovereign supply chains that assure delivery. We have immense backing from the world’s best venture funds. We’re one of the fastest growing defence technology companies in history. And we’re hiring the best engineers to prosecute the mission. If you are in the top 1%, willing to work harder than you ever have, build technology better than anyone else, and contribute to the defining challenge of our time, now is the time to join us. We’re committed to building a diverse and inclusive workplace. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. #J-18808-Ljbffr

About Mursla Bio Mursla Bio is UK- and Boston-based precision medicine and diagnostics company spun out of the University of Cambridge. The company has developed a clinically validated, AI-enabled platform that analyses tissue-specific extracellular vesicles (TS-EVs) from blood to deliver tissue-resolved, multiomic insights not accessible through standard liquid biopsy approaches. Mursla Bio’s initial focus is liver disease, where its lead program, EvoLiver™, is the only FDA Breakthrough-designated blood test for liver cancer surveillance for 7 years. EvoLiver™ leverages a capital-efficient, hepatology-led pathway to enable guideline-driven adoption and reimbursement. Beyond cancer surveillance, Mursla is advancing precision medicine partnerships in metabolic liver disease (MASH), anchored by a landmark big pharma collaboration, and selectively expanding its platform to additional organs / tissues. The opportunity We are looking for an experienced Director of R&D to manage our multidisciplinary R&D team, spanning experimental science and bioinformatics, and lead the planning and execution of our R&D programmes. This is a hands-on leadership role in a small, fast-moving biotechnology company. Reporting to the Chief Scientific Officer (CSO) and working closely with the wider leadership team, you will translate scientific and product strategy into clear, executable R&D plans, ensuring that programmes are scientifically rigorous, appropriately prioritised and delivered against agreed objectives, timelines and resources. The successful candidate will combine strong scientific judgement with excellent programme leadership. You will be comfortable moving between experimental detail, team leadership and the broader objectives of developing robust and clinically relevant biomarkers and diagnostic products. Key responsibilities Team leadership • Lead and develop the multidisciplinary R&D team, with clear accountability for projects and experimental deliverables., • Set objectives, provide regular feedback and coaching, and support the development of scientists at different levels of experience., • Build a collaborative culture of scientific rigour, ownership and delivery, encouraging constructive challenge, open discussion and effective knowledge-sharing. R&D programme leadership • Own delivery of the R&D roadmap, translating scientific and product objectives into well-defined programmes, milestones and decision points., • Develop and manage realistic project plans covering timelines, resources, dependencies, risks and contingencies, identifying and resolving technical bottlenecks early., • Ensure programmes generate the evidence required for technical, product and commercial decisions, with clear reporting of progress, results, risks and resource use. Scientific and technical leadership • Provide strong scientific oversight across R&D programmes, particularly in extracellular vesicle biology, biomarker development, molecular biology, proteomics and nucleic-acid-based analyses., • Ensure rigorous experimental design and effective integration of experimental and bioinformatics activities, with appropriate analysis and critical interpretation of multiomic data., • Identify and evaluate new technologies and approaches that could materially improve Mursla Bio’s platform or development programmes. Translational and product development • Work closely with Product Management and other functions to translate product requirements into R&D activities and technical specifications., • Lead the progression of biomarker programmes from research and discovery through assay development and towards clinical application., • Ensure R&D programmes increasingly meet the validation, quality, reproducibility and documentation requirements associated with diagnostic and companion-diagnostic development. External collaboration • Lead scientific interactions with pharmaceutical, academic and clinical partners and external service providers., • Scope and manage outsourced scientific work, with clear deliverables, timelines and quality expectations., • Represent Mursla Bio scientifically in partner discussions, conferences and other external forums. About you Essential experience and capabilities • PhD or equivalent research experience in molecular biology, biochemistry, proteomics, cell biology, molecular diagnostics, computational biology or a related field., • Significant experience leading complex R&D programmes in a commercial setting., • Demonstrated experience leading and developing scientists in a multidisciplinary R&D environment., • Strong project and programme-management capability, including management of milestones, dependencies, risks, resources and external providers., • Expertise in one or more of Mursla Bio’s core technology areas, such as extracellular vesicles, liquid biopsy, proteomics, transcriptomics, protein assays, sequencing or multi-omics, together with experience handling human clinical samples., • Experience working closely with bioinformatics teams and interpreting complex biological datasets, including proteomic, sequencing or other multiomic data., • Strong scientific experience in biomarker development, with the ability to critically assess experimental design, data quality and biological interpretation and progression towards robust assays., • A pragmatic and collaborative approach, with the ability to operate effectively in a small, fast-moving company where priorities may evolve quickly. Desirable experience • Experience progressing research towards diagnostic, clinical or regulated applications, particularly in diagnostics or companion diagnostics., • Experience contributing to scientific publications, grant applications, intellectual property or external scientific presentations., • Experience supporting external scientific interactions, including pharmaceutical partnerships, due diligence or collaborations with academic and clinical groups., • Experience with R&D budget and resource planning in a commercial environment. Apply: Please submit your CV and a concise cover letter to careers@mursla.com

This position sits within a global pharmaceutical leader’s Engineering department, supporting the development and delivery of next‑generation connected products. You’ll be central to transforming concepts into commercialised products, ensuring operational, engineering, supply chain, quality, and regulatory requirements are fully captured and executed. You’ll work closely with cross‑functional product and platform teams, collaborating with R&D groups in the UK, USA, and Israel. The role requires strong leadership across matrix teams, ownership of NPI execution, and tight coordination with contract manufacturers and suppliers. Key Responsibilities • Oversee delivery of new hardware products into manufacturing, ensuring smooth handover from development to production., • Coordinate cross‑functional teams across engineering, operations, supply chain, quality, and regulatory to align on requirements and timelines., • Build structured project plans, manage risks, track progress, and ensure milestones are met., • Prepare production environments for launch, including documentation, processes, tooling, and quality controls., • Work closely with external manufacturing partners to support line setup, transfers, and issue resolution., • Maintain accurate product information such as BOMs, revisions, part numbers, and production instructions., • Manage engineering changes throughout the product lifecycle and ensure updates are implemented correctly., • Keep PLM/ERP systems updated with complete and compliant product data., • Support problem‑solving across manufacturing, procurement, logistics, supplier quality, and regulatory teams. Your Profile • Degree in Industrial Engineering, Electronics Engineering, or a related technical field., • Strong background in engineering, operations, or manufacturing, ideally with experience launching new products., • Solid project management skills with the ability to coordinate multiple workstreams and stakeholders., • Good understanding of manufacturing processes, production readiness, supply chain planning, and supplier/CMO engagement., • Experience working with external manufacturing partners or third‑party production environments., • Comfortable managing documentation, BOM structures, revision control, and engineering change processes., • Familiar with PLM/ERP systems; knowledge of Teamcenter is a plus., • Strong Excel skills and proficiency across Microsoft Office., • Clear communicator able to work across different functions and global teams., • Organised, detail‑focused, and confident taking ownership of deliverables., • Fluent in English and able to influence stakeholders without direct authority., • Willing to travel occasionally for supplier or project‑related work. ABOUT PLANET PHARMA Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering. Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing. We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age. www.planet-pharma.com

Client Server in Cambridge is seeking a Backend Software Engineer to work primarily with Python, with Rust and C++ involvement, on a new Greenfield security product in an AI-driven space. The role offers hybrid work with in-office twice a week, and a supportive team environment. You'll prototype ideas quickly, implement robust backend services, and apply best practices while collaborating across the R&D group. The package includes a salary up to £80k and a range of benefits. #J-18808-Ljbffr

Does it excite you to work at the frontier of peptide and mini-protein drug discovery, and do you have hands‑on experience with mRNA display technology? If this sounds like you, and you are ready to help build a new discovery platform from the ground up, then you could be our new colleague. As a Scientist or Senior Scientist in mRNA Display, you will play a central scientific role in our new Molecular Platform Development organization, driving peptide and mini‑protein discovery through mRNA display technology. You will help build and operate a modern, high‑throughput display platform at the inception of our new Cambridge, MA research center. This role suits a scientist with strong technical expertise across the full mRNA display workflow, scientific curiosity, and a desire to grow in scope and responsibility. • Execute the full peptide and mini‑protein mRNA display workflow, from library design and in‑vitro transcription/translation through puromycin‑based fusion, selection, and enrichment, • Apply expertise in non‑canonical amino acid incorporation to expand chemical diversity within display libraries, • Apply chemical modification strategies—including macrocyclization/stapling, lipidation, and bioconjugation to improve potency, stability, and pharmacokinetic properties, • Build and maintain custom cell‑free display systems in‑house, including establishing mRNA display platforms from scratch, • Generate and analyze structure‑activity relationship (SAR) data to support optimization of selected hits, contributing to lead and backup candidate selection, • Collaborate with computational modeling, design, and data science colleagues to support efficient DMTA cycles, • PhD in Chemical Biology, Biochemistry, Organic Chemistry, or a related field preferred (postdoctoral training preferred); candidates with a BS/MS and significantly more relevant industry experience will also be considered, • 2+ years of relevant post‑degree experience in mRNA display or related in‑vitro display technologies (Scientist); 4+ years (Senior Scientist), • Experience building custom cell‑free display systems from scratch strongly preferred; experience with other in‑vitro display technologies (e.g., ribosome display) and cell‑free protein/peptide expression systems (e.g., IVTT, CFS) is a plus, • Experience incorporating non‑canonical amino acids via reprogrammed translation systems (e.g., flexizyme‑based methods) or related approaches, • Experience applying next‑generation sequencing (NGS) to analyze library diversity and selection enrichment; familiarity with associated bioinformatics is a plus, • Familiarity with analytical characterization of peptides (e.g., LC‑MS‑based methods) and peptide developability considerations (stability, solubility, manufacturability) You will join Molecular Platform Development, a new organization created to strengthen and advance diverse drug modality capabilities in metabolic disease, based at our new Cambridge, MA research center. The site is a highly collaborative, multidisciplinary discovery hub integrating computational research, chemistry, and biology, and is deeply connected to the Greater Boston life sciences ecosystem. We have a unique culture, characterized by excellent teamwork and strong engagement across the organization. And we want you to help us strengthen this culture. Making bonds is at the core of everything we do. From discovering and developing the best new peptide drugs for patients, to engaging with our partners or connecting with each other. We bond through curiosity and playfulness as a team, allowing ourselves to challenge common thinking and drive future innovation. Join us and let’s bond and be bold. Salary Range: $125,000 - $170,000 We are committed to an inclusive recruitment process and welcome applications from all job applicants. Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data‑driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma‑invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late‑stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Cambridge, Massachusetts. Learn more at www.zealandpharma.com. #J-18808-Ljbffr

Locations: Cambridge, UK or Barcelona, Spain Salary & Benefits: Competitive At AstraZeneca, technology and science meet to change what is possible for patients. We are building a connected, end-to-end Enterprise AI engine — uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you will actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. AI Science & Innovation (AISI) sits at the centre of AstraZeneca's R&D AI transformation. Our remit is to build, buy, and deliver the AI models and agents that change pipeline outcomes across discovery, translational science, biomarkers, and clinical development. Within AISI, the Clinical AI team are building world-class AI capability to accelerate the design, conduct, and analysis of clinical trials across our BioPharmaceuticals pipelines — spanning both early and late phase programmes. We partner closely with clinical development, regulatory, and biometrics teams to bring better treatments to patients faster, while adhering to the highest evidentiary standards. Bringing new treatments to patients demands scientific excellence at every stage of development. In the Clinical AI team, we focus on one of the most data-rich and decision-intensive parts of that journey: clinical development. Trial design, patient selection, dose optimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can add rigour, speed, and precision — not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold ourselves to measurable standards of improvement, and we build methods that can be evaluated, reproduced, and trusted in regulatory settings. You will work across the enterprise to define and deliver on AstraZeneca's most pressing clinical development questions — leading cross-functional teams spanning the key BioPharmaceuticals disease areas of cardiovascular, renal, metabolic disease, respiratory, immunology and cell-therapy. You and the team will develop reusable methods and enterprise-scale approaches that measurably advance the late-stage drug pipeline. This is a high-visibility opportunity to shape how AstraZeneca does AI for BioPharmaceuticals clinical development — from methodology standards to external scientific influence. AI for clinical development is a field in motion. Foundation models, agentic systems, and causal AI are advancing rapidly, and the regulatory and methodological frameworks around them are evolving in parallel. As a Director, Data Scientist, you will define and drive the AI methodology agenda for one or more programmes within Clinical AI, leading by scientific influence and matrix coordination rather than through a formal hierarchy. You will be the scientific authority that study teams, biometrics, and regulatory colleagues turn to — and AstraZeneca's voice externally at the critical moment when the rules of the road for AI in clinical trials are being written. • Define and drive the AI methodology roadmap for assigned Clinical AI programmes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and business objectives., • Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from problem definition and methodology selection through validation, regulatory alignment, and scaled adoption across the enterprise., • Develop and govern reusable, enterprise-grade AI methods and evaluation frameworks for clinical trial settings, including innovative trial design support, dose optimisation, biomarker discovery, digital twins, predictive and prognostic modelling, and safety and efficacy signal detection., • Champion data-centric AI practices at programme level: govern the acquisition, curation, and quality control of datasets for model training, post-training, benchmarking, and evaluation across clinical and regulatory settings., • Partner with Clinical Development, Biometrics, Regulatory, and Study Teams to embed AI strategy and validated solutions into study design and decision-making at programme level., • Shape the AI evidence component for regulatory submission packages; act as the scientific and methodological voice in regulatory engagements involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA)., • Evaluate and champion cutting-edge AI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust evaluation criteria and risk assessment., • Establish and maintain external collaborations with academic institutions, technology partners, and industry consortia to access novel capabilities and advance the scientific agenda., • Represent AstraZeneca at scientific conferences, standards bodies, and peer-reviewed venues; contribute first- or last-author publications in leading ML and clinical AI journals., • Serve as a technical mentor and thought partner for Associate Directors and Senior Data Scientists within the Clinical AI team; promote scientific rigour, reuse, and a culture of learning in public., • Contribute to the broader AISI AI for Clinical Development strategy, including cross-functional ways of working, tooling governance, and methodology standards., • PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or a closely related quantitative discipline — with a strong, hands‑on computational track record., • 4–8 years of post-PhD experience in AI and machine learning method development, with demonstrated and sustained impact in clinical, biomedical, or drug development settings (e.g. models delivered, first-author publications, patents, SaMD filings, open‑source projects)., • Deep experience, knowledge, and understanding of one or more fields of biology, with hands‑on experience working with biological data such as molecular (DNA, RNA, protein), imaging (radiology, microscopy), or clinical text (EHR, clinical notes)., • Deep expertise in modern AI methodologies, including one or more of: foundation model training and fine‑tuning; Bayesian inference; temporal and longitudinal modelling; multimodal integration; model calibration and domain adaptation; data‑centric AI; model interpretability; model post‑training and alignment., • Exceptional software engineering skills: Python, deep learning frameworks (e.g. PyTorch), frontier coding agent frameworks, modern LLM tooling, and cloud platforms (e.g. AWS, Azure, GCP)., • Demonstrated experience translating AI methods into applications that inform clinical and/or biomedical decisions, including prospective evaluation or contribution to submission‑relevant evidence., • Track record of driving scientific influence across cross‑functional communities — ML, clinical, biostatistics, regulatory — without relying on formal authority., • Peer‑reviewed publications in clinical AI, computational drug development, or leading ML venues (e.g. NeurIPS, ICML, ICLR, Nature Medicine, Lancet Digital Health)., • Excellent written and verbal communication skills, with demonstrated ability to translate technical findings for clinical, regulatory, and executive audiences., • Direct industry experience in early or late phase BioPharmaceuticals clinical development, including clinical trial design, biomarker discovery, companion diagnostics, dosing, safety, endpoints, or regulatory processes., • Direct experience contributing to FDA, EMA, PMDA, or MHRA submissions involving AI/ML methods or innovative trial designs., • Prior regulatory engagement on AI methodology, complex innovative trial design, or AI/ML qualification opinions., • Experience with MLOps and LLMOps at scale, including CI/CD pipelines and enterprise deployment., • Open‑source contributions, workshop organisation, or standards‑body participation., • Knowledge of computing hardware and its impact on model training and inference at scale., • Experience in a complex global organisation spanning multiple sites and therapy areas., • Strong proficiency in augmenting — but not supplanting — daily knowledge work with agentic AI tools., • Proactively up‑to‑date with the latest AI research; tries out new tools and methods of interest without waiting to be directed., • Team‑oriented mindset: does what is best for the team and the programme, not just the individual deliverable., • Ability to deliver high‑quality, high‑impact contributions independently and at pace., • Comfort with ambiguity and an instinct to learn in public, prototype early, and fail forward., • Deep, up‑to‑date knowledge of the ML literature and active connections with the ML community. Here, technology and science meet to change what is possible for patients. You will join a company investing boldly in AI and data to become truly data‑led, where unexpected teams come together to address problems that have never been solved before. When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life‑changing medicines. The playbook for AI in clinical development will be written in the next two to three years. You will help write it — with an outsized voice at regulatory agencies, scientific consortia, and external partners during the narrow window when the rules of the road for AI in pivotal evidence are being defined. That is the reason to come. We hire for learning agility and technical excellence. The strongest candidates here learn fast, are comfortable with ambiguity, prototype early, fail forward, and partner credibly across communities. We balance the expectation of being in the office — on average at least three days per week — while respecting individual flexibility. 10-sep.-2026 29-sep.-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. #J-18808-Ljbffr

Huawei R&D UK (Cambridge) is seeking an ambitious Research Engineer to work at the intersection of machine learning and CPU microarchitecture on the Kirin CPU Team. You will use reinforcement learning, LLM agents and learned models to discover and validate improvements for next-generation out-of-order CPU cores, including agentic systems that turn research papers into simulated, measured results. This role suits someone early in their career who is fluent with cycle-accurate simulators and #J-18808-Ljbffr

We are seeking a Computational Scientist to join our R&D team and contribute directly to the continued development of our AI-accelerated superconductor discovery algorithm. You will implement methods for direct structure property predction. Your day-to-day work will span developing and training graph neural network models for materials property prediction, evaluating and integrating state-of-the-art machine learning interatomic potentials, and developing benchmarks to validate model performance against experimental data. You will collaborate closely with our Lead Scientist, as well as with experimental collaborators who synthesize and characterize the materials your models identify. That loop, from prediction to synthesis to characterization and back into model improvement, is the core of what we do. This is a foundational hire. As the team and the discovery pipeline grow, this role has a clear path toward technical leadership, with the opportunity to shape the direction of our computational platform and mentor and lead future team members. About you (strongly preferred) • Ph.D. in Physics, Chemistry, Materials Science, Computer Science, or a closely related field, with a strong focus on atomistic modeling, AI-accelerated materials discovery, or condensed matter physics or relevant research experience., • At least 3 years of research experience in AI for materials discovery, computational materials science, or a closely related domain., • Experience with graph neural networks for materials property prediction., • Familiarity with density functional theory and molecular dynamics simulations., • Experience training and evaluating machine learning models for scientific applications, with proficiency in Python and PyTorch., • Familiarity with high-performance computing environments and managing computational workflows at scale., • Ability to analyze and interpret large, complex datasets generated from simulations and experiments, • Excellent collaboration and communication skills, with the ability to articulate complex technical ideas clearly, and work effectively in a small, interdisciplinary team. Pluses • Familiarity with equivariant architectures (e.g., e3NN)., • Familiarity with Quantum Espresso or similar DFT codes for electron-phonon calculations and phonon property prediction., • Experience with machine learning interatomic potentials (MLIPs), • Experience with generative models for crystal structure generation (flow matching, diffusion models, or related architectures)., • Understanding of BCS theory, Eliashberg theory, and the physics of electron-phonon superconductors., • Experience in Fortran and/or C . What We Offer • Real agency and real impact. At our size, every team member shapes the trajectory of the company. You will work directly with the CEO and CSO on decisions that define our discovery roadmap. The materials you help identify will move from your simulations to synthesis to commercial products that power fusion reactors, MRI systems, and energy infrastructure., • A genuinely collaborative, mission-driven team. We are scientists who care about impact, not publicity. We work in an environment where ideas are heard, collaboration is the default, and everyone has a stake in the outcome., • A flexible, hybrid work environment based at The Engine, MIT’s tough tech incubator, located in the heart of Kendall Square. Easily accessible by public transit and surrounded by one of the most vibrant innovation communities in the world., • Competitive salary based on experience level and cost-of-living in Cambridge, MA, plus meaningful equity ownership., • Employee sponsored benefits including health, dental, and vision insurance, plus a 401(k)., • Unlimited paid time off (PTO): minimum three weeks, federal holidays, and a company-wide closure between Christmas and New Years to support work-life balance., • Relocation reimbursement for candidates moving to the Boston/Cambridge area. #J-18808-Ljbffr

Machine Learning Engineer Location – Cambridge Salary – £60,000-£120,000 Hexwired has partnered with an innovative technology company developing advanced AI and machine learning solutions for complex, real-world applications. They are looking for a Machine Learning Engineer to join a multidisciplinary R&D team in Cambridge working on cutting-edge machine learning projects from concept through to deployment. The Role • Research and develop innovative AI/ML solutions for challenging technical problems., • Design, train and evaluate machine learning models across a variety of applications., • Rapidly prototype, test and optimise new ideas., • Analyse research papers and apply the latest ML techniques., • Design experiments, interpret results and present technical findings. Requirements • Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject., • Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects)., • Strong Python programming skills., • Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras or JAX., • Strong analytical, problem-solving and communication skills. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £60k - £120k along with a comprehensive benefits package. If you’re interested in this Machine Learning Engineer job in Cambridge, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today #J-18808-Ljbffr

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Senior Cloud Software Developer Location: Cambridge, United Kingdom (Hybrid) Employment Type: Full-time Join AVEVA’s Core Services team to design and implement secure, resilient cloud platform capabilities using Microsoft Azure. This Senior-level role is suited to an experienced developer with a strong record of delivering complex technical solutions and an interest in cloud development. You will work as part of an agile team, contribute to design decisions, build high-quality services, and use modern engineering practices, including AI-assisted development tools, to improve productivity and software quality. • Design, develop, and maintain secure, resilient features for AVEVA CONNECT Core Services, • Contribute to technical design and implementation decisions across cloud and service-based architectures, • Build and improve services using modern engineering practices, including CI/CD and infrastructure as code, • Use AI-assisted development tools to support engineering productivity, code quality, and delivery, • Work collaboratively in an agile development team and share knowledge on cloud technologies and practices., • Strong design and coding skills, with a record of delivering high-quality technical outcomes, • Experience developing microservice or service-oriented architectures, • Good understanding of REST API design principles, • Experience with C#/.NET or multiple programming languages, plus an understanding of database design, CI/CD, and infrastructure as code, • Experience with cloud development, especially Microsoft Azure, • Experience with Kubernetes, containers, or cloud-native application platforms, • Experience with Angular or an equivalent web development framework, • Experience using AI-assisted coding tools to improve engineering productivity and software quality, • Strong communication, adaptability, curiosity, ownership, and motivation to solve technical challenges in a fast-moving environment We recognise that no candidate ticks every box. If you bring curiosity, ambition, and a willingness to grow, we’d love to hear from you. Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ • Flexible benefits fund, • emergency leave days, • adoption leave, • 28 days annual leave (plus bank holidays), • pension, • life cover, • private medical insurance, • parental leave, • education assistance program. It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify our recruiter. Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis. AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably. We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies. If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy. #J-18808-Ljbffr

Breakthrough technology is vital for strengthening the UK’s Defence and Homeland Security. As a Consultant Physicist at Awerian, you will be at the forefront of this innovation race and play your part by helping to defend and protect the UK from the latest technological and cyber threats. You will use your deep scientific insight and research skills to shine light on the hardest problems, exploring the art of the possible and inventing new solutions. You will design investigations to test and develop your ideas and see them become a reality through the creation of prototypes using Awerian’s rapid approach to design and implementation. This will involve all aspects of technology and product development – from invention, analysis, and computational modelling through to prototype design and the transfer to manufacturing. You will see the concepts you enable have direct impact on the safety of the UK and its citizens. You will work with and lead expert teams of engineers and scientists delivering cutting edge technology to our clients. It’s a fantastically challenging, varied and agile role. You will bring demonstrable technical experience in a range of the following areas: • Quantum technologies, which could include sensing, position navigation and timing, computing, or communications., • Optics, which could include propagation, imaging systems, fibre optics, high power and ultrafast lasers, spectroscopy, or evanescent coupling., • Electromagnetics, which could include propagation, penetration, interference, plasma's, interaction with electronics, Radar systems, or sensing., • Sonar and acoustics, which could include acoustic signal processing, characterising underwater environments, sensing, ultrasonics, or acoustic communications., • Semiconductor physics, which could include junction behaviour, logic, thermal effects, or sensing., • Thermal systems, which could include thermal management in aviation and maritime systems, complex thermal architectures, or materials processes., • Fluid analysis, including particle dispersion, fluid flow and microfluidics., • Algorithm design, which could include Artificial Intelligence / Machine Learning, autonomous systems, signal processing and classification, or edge processing., • Breadth of exposure to technical project management themes., • Experience of communicating directly with clients and stakeholders, and acting as subject matter expert (SME) in client meetings., • Experience of planning and proposing novel R&D activities. Using engagement, active listening and influencing skills to navigate professional interactions., • Experience of accountability for budgets and resource planning. You will have a track record of academic excellence, hold a relevant postgraduate degree or equivalent professional experience, and have proven technical capabilities as a Physicist. We are keen to hear from experienced Physicists with a background in any sector. Awerian is a defence and security technology consultancy comprised of approximately 40 scientists and engineers, and part of the TTP Group. You will work at our state‑of‑the‑art facility based just outside of Cambridge. With little hierarchy and no corporate hoops to jump through, this flat structure encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop skills in project leadership and client management, keeping your professional development on track. Awerian is continuing its rapid growth plan, making this a great time to join our multi‑disciplinary team. You will be part of building on our successful track record and develop your career at the cutting edge of technology, supported by a team of experts. We’re a business of individuals – but our curiosity brings us together and drives what we do. Whether you’re leading a project or part of a team, the whole structure of Awerian is designed to help you connect, thrive, and feel included. • Annual profit‑related bonus, • Virtual shares that reward you with a stake in TTP Group’s long‑term success, • Employer pension contribution of 10% of salary, • Private medical insurance for employees and dependants, • Free onsite lunch, • Life insurance worth 6× salary, • 25 days holiday, • Enhanced parental leave and flexible return‑to‑work support, • Electric car leasing and cycle‑to‑work schemes, • Interest‑free travel season ticket loan, • Local sports facilities and theatre discounts and memberships, • Comprehensive relocation support (if applicable) You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme. #J-18808-Ljbffr

Salary: Competitive + Excellent BenefitsWe're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real! We are seeking a talented and scientifically ambitious AI expert to join our Translational AI team, applying cutting-edge AI approaches to deepen our understanding of disease biology and therapeutic response. This role will focus on uncovering the biological mechanisms that drive treatment response, resistance, and disease progression by integrating multimodal data across discovery, translational, and clinical settings. The successful candidate will work at the intersection of AI, human biology, and drug development, partnering closely with translational scientists, clinicians, bioinformaticians, and disease-area experts. This is an exciting opportunity to help shape the future of AI-enabled translational science and contribute directly to the development of next-generation medicines. • Apply AI and computational approaches to elucidate disease mechanisms, drug mechanisms of action, and mechanisms of resistance., • Integrate molecular, cellular, omics, imaging, and clinical data to generate novel biological insights., • Develop models that connect targets, pathways, biomarkers, patient characteristics, and clinical outcomes, enabling forward and back translation, • Support programme teams in understanding therapeutic response and identifying opportunities for patient stratification based on mechanistic understanding., • Apply modern machine learning and AI approaches to translational science challenges., • Explore emerging techniques including multimodal modelling, biological foundation models, causal inference, systems biology, and knowledge-based reasoning., • Build analytical frameworks that can be deployed across multiple therapeutic areas and programmes., • Develop reusable AI methods, platforms, and capabilities that can be adopted across multiple therapy areas, enabling scalable impact and reducing duplication of effort., • Translate advances in AI into practical applications that accelerate decision‑making in R&D., • Partner with translational medicine, clinical development, data science, bioinformatics, and laboratory scientists to address critical scientific questions., • Contribute computational and mechanistic expertise to cross‑functional project teams., • Help identify opportunities where AI can provide unique insights into disease biology and therapeutic response., • Communicate findings effectively to both technical and non-technical stakeholders., • Drive high-quality scientific research and innovation., • Publish and present methods and findings internally and externally; contributefirst- or last-author publications in leading ML and clinical AI journals where appropriate., • Mentor junior scientists and contribute to developing best practices within the organisation., • Stay at the forefront of advances in AI, computational biology, and translational medicine., • PhD (or equivalent experience) in Machine Learning, Data Science, Computational Biology, Systems Biology, or a closely related quantitative discipline - with a strong, hands-on computationaltrack record., • Demonstrated experience of high-impact application of AI/ML methods to biological, translational, or clinical data., • Deep knowledge of one or more areas of modern AI: foundation model training and fine-tuning adaptation (e.g. LLMs, multimodal and biological foundation models), model interpretability and explainability, causal machine learning, graph machine learning, agentic AI, • Exceptional software engineering skills: Python, deep learning frameworks (e.g.PyTorch), frontier coding agent frameworks, modern LLM tooling, and cloud platforms (e.g.AWS, Azure, GCP)., • Demonstrated ability to generate novel insights from complex biological datasets., • Experience collaborating effectively across multidisciplinary scientific teams., • Excellent communication skills and the ability to explain complex concepts clearly., • Peer-reviewed publications in clinical AI, computational drug development, or leading ML venues (e.g.NeurIPS, ICML, ICLR)., • Strong understanding of human disease biology and the generation, analysis and interpretation of translational datasets, including genomics, transcriptomics, proteomics, single-cell and spatial biology, clinical biomarkers, pathology imaging, longitudinal clinical data / real-world data and biomedical knowledge graphs., • Understanding of pharmaceutical research and drug development, from target validation through clinical development, including the role of translational science in patient stratification, biomarker strategy and decision making., • Experience in one or more of the following areas is desirable: mechanism of action (MoA) studies, biomarker discovery, mechanisms of resistance (MoR), patient stratification, network and systems biology, causal inference, or multimodal disease modelling. In this role, you will: • Deliver new insights into disease mechanisms and therapeutic response., • Help explain why drugs work, why resistance emerges, • Establish AI-driven approaches that improve decision‑making across the drug development lifecycle., • Become a recognised scientific expert at the intersection of AI and translational biology., • Contribute to building a leading Translational AI capability within R&D. Understanding disease is no longer limited by data generation. The challenge is turning increasingly rich biological and clinical data into mechanistic insight. In this role, you will use AI to bridge that gap, helping reveal the biological processes that drive patient outcomes and ultimately enabling the development of more precise and effective medicines.#EAI 15-sep.-2026 04-okt.-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. #J-18808-Ljbffr

Director, Project Toxicologist – – Immune Oncology (IO) Safety Science Location: Cambridge, UK (Hybrid, required 60% presence in the office) Salary: Competitive At AstraZeneca, our bold ambition is nothing less than to eliminate cancer as a cause of death. Our pioneering pipeline of oncology medicines reflects this mission, and our Immune Oncology (IO) Safety team plays a critical role in accelerating transformative therapies to patients. We are seeking a highly motivated, innovative, and passionate Director, Project Toxicologist, to join our IO Safety group. This role focuses on novel immunotherapeutic, including immune cell engagers. Candidates with a strong Immunology and toxicology background, preferably in Oncology, are encouraged to apply. You will partner with cross-functional teams across Oncology R&D, bridging discovery and regulatory toxicology, Immunotoxicology, driving innovative safety strategies, and accelerating drug development. Your expertise will inform candidate selection, guide regulatory strategy, and help define the future of oncology safety science. • As a core member of multi-disciplinary drug development teams, you will deliver globally acceptable toxicological packages to predict, assess and mitigate target and modality related safety risks to support data-driven decisions across discovery and development programs., • You will develop and implement innovative solutions to combine regulatory toxicology with ground breaking science and technologies to progress novel drug candidates to the clinic and through development to the market, in line with business needs., • Influence project strategy and decision making, communicate clear positions on integrated risk assessments in various formats including informing internal decision-making governance bodies and interacting with external health authorities., • Deliver quality non-clinical summaries and contribute to regulatory submissions for IO projects., • Maintain and expand expertise in regulatory standards, preclinical safety, and modality-specific safety science, staying ahead of industry trends., • Drive Oncology Safety science through internal and external collaborations, publications, and scientific leadership., • Additional responsibilities include providing experienced non-clinical evaluation of in-licensing and out-licensing opportunities, mentorship and guidance to emerging toxicologists with respect to regulatory environment and supporting their career growth and development., • DABT or PhD in toxicology or immunology (or equivalent) with several years of experience in the pharmaceutical or biotechnology industry working as a non-clinical safety lead, supporting immunology and/or oncology programs with planning, execution, interpretation and communication of regulatory toxicology data., • A proven understanding of drug discovery and development, with a track record of delivering multiple toxicology programs supporting IND/CTA filings., • High level of knowledge and expertise in designing toxicology strategies and delivering in vitro/in vivo and risk assessment of immune/target related risks, driven by the pharmacology of IO therapeutics., • Ability to solve problems in a goal-focused fashion with willingness to challenge conventional thinking and capacity to coordinate tasks across multiple projects and geographies., • Excellent verbal and written communication, interpersonal- and influencing skills. Adopting an inclusive and collegiate working style, and a desire to drive own- and support others development. Represent AstraZeneca interests, maintaining high ethical and scientific standards., • Commitment to inclusion and diversity, supporting AstraZeneca’s Great Place to Work objectives. Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. #J-18808-Ljbffr

Cambridge, UK Cambridge, UK | Full-time | Permanent | Hybrid Salary: £72,000 to £140,000, DOE + Bonus + Benefits The salary range for this role is broad, as we are able to consider varying levels of experience.Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. Wewillalsoconsider part-timeapplicationsforthis role. Pleaseindicateyour preferred working schedulein yourcoverletter. About us Riverlane'smission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved.Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills,talentand passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast. About the role As a Lead Quantum Error Correction Researcher at Riverlane, you won’t just research quantum error correction - you’ll help us build it.Your work will help deliver the world’s first QEC stack and unlock useful, scalable quantum computing. We have a fantastic opportunity to join one of Riverlane’s more science-focused quantum error correction teams, which works to enable large-scale error-corrected quantum computation. Thi s world-class, highly collaborative team brings together mathematicians, physicists, computer scientists and software engineers, working side by side on a diverse portfolio of cutting-edge research projects. In this senior role, you will lead high-impact research projects and manage a small team within a larger, multidisciplinary group. You’ll balance deep, hands-on research with technical leadership, mentoring, and strategic direction. What you will do As a Lead QEC Researcher at Riverlane, your work will vary, but typical activities may include: • Pushing the boundaries ofquantumerrorcorrection (QEC) through hands‑on, high‑impact research, while coaching and levellingup researchers in yourteam., • Owning and leading multi-person projects end to end, working closely with yourteam and cross-functional partners across Riverlane., • Actively shaping the direction and priorities of QEC research in relevant areas as we scale our technology and roadmap., • Translating cutting-edge research into outcomes that move the company forward, contributing directly to Riverlane’s goals and strategy., • Line‑managing, mentoring and supporting members of yourteam, helping them to grow and take on increasing responsibility., • Building strong relationships with external partners, collaborators, and customers, including hardware partners across all qubit types., • Helping define and win new projects by contributing to compelling proposals and funding opportunities., • Sharing knowledge and collaborating across teams to rapidly advance our products., • Writing and reviewing code for our internal and open-source codebases., • Communicating results clearly and decisively through publications, talks, and presentations at leading conferences and workshops. What we need, • PhD in mathematics, physics, computer science, or a related technical field (or equivalent professional experience), • Proven ability to undertake high-quality theoretical work (for example, through publications), • Experience driving the direction of scientific or technical research, • Experience leading projects involving multiple people, • A collaborative mindset with experience in guiding and mentoring less-experienced colleagues, • Working knowledge of QEC, • Ability to work effectively both independently, and as part of a team, • Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences ina clear way, • Experience undertaking or leading QEC research, evidenced by scientific publications, • Knowledge of qLDPC codes, • Understanding of one or more qubit modalities, • Experience leading a group of researchers working across multiple projects, balancing competing priorities, • Knowledge of Python and/or C++, • A track record of winning contracts or grants What can you expect from us, • A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme, • Equity, so that our team can share in the long-term success of Riverlane, • 28 days annual leave, plus bank holidays and enhanced family leave, • A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities, • A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see theprivacy notice for further details. #J-18808-Ljbffr

• Contribute directly to the design, implementation, maintenance and improvement of industrial optimisation software and related numerical modelling components., • Investigate complex mathematical, algorithmic and software engineering problems independently and drive them through to resolution., • Take ownership of large or technically challenging work items, breaking them down into manageable tasks and making sound implementation decisions with minimal supervision., • Work effectively within an existing and in some areas legacy codebase, balancing respect for established team practices with thoughtful technical improvement., • Apply strong mathematical reasoning to modelling, optimisation and algorithmic challenges., • Support the robustness, performance, quality and maintainability of optimisation code through effective debugging, profiling and diagnosis of build/runtime issues through extensive automated unit and regression testing., • Demonstrate the potential to lead technical projects or workstreams over time, even where no formal leadership responsibility is assigned initially., • Provide guidance, coaching and technical support to less experienced developers where appropriate., • We are looking for a Senior Optimisation Developer with a strong mathematical background and experience in numerical modelling or mathematically intensive software development. This is a hands-on senior software development technical role within the USC Optimisation team. The team develops advanced optimisation technology that helps refineries improve operational efficiency and supports complex refinery planning. The position is ideal for someone who can independently investigate complex problems, work effectively in an established codebase, and grow into broader technical leadership over time. Experience in linear algebra and/or Lagrangian analysis is highly desirable. Programming ability is required, but prior C++ experience is not essential. The ideal candidate will have both postgraduate/research experience and industry experience however, candidates with either are encouraged to apply., Strong mathematical background, supported by a postgraduate qualification (MSc, PhD, or equivalent experience)., • Proven programming ability in at least one relevant language. (e.g. C++, C, C#, Fortran), • Experience of numerical modelling or mathematically intensive software development., • Demonstrated potential to lead projects or technical workstreams, even if formal leadership experience has not yet been required., • Ability to work effectively in a complex and evolving codebase., • Ability to communicate technical concepts clearly and work collaboratively with other developers., • Relevant industrial, research or advanced technical experience., • We welcome candidates from a range of mathematically intensive backgrounds with experience in modelling, simulation, or similar analytical fields. Relevant academic or professional backgrounds may include:, • applied mathematics, • theoretical physics, • operations research, • engineering disciplines with strong mathematical modelling content, • computer science with significant numerical or algorithmic depth, • other computational science, • Desired skills and competencies, • Experience using and maintaining build and meta-build systems., • Experience of debugging tools, including debuggers, performance profilers and memory profilers., • Experience with source control systems and continuous integration/continuous development i.e. git and Azure DevOps., • Background in one or both of:, • Linear algebra, • Lagrangian analysis, • Problem solving - able to break down difficult technical and mathematical problems and develop practical, effective solutions., • Critical thinking - evaluates evidence objectively and makes reasoned technical judgements., • Coaching - supports and uplifts others through knowledge sharing and technical guidance., • Collaborative relationships - works effectively with colleagues across the team and wider organisation., • Influencing - able to shape technical direction through credibility, logic and constructive argument rather than authority., • Conceptual thinking - able to think beyond the immediate task and consider broader architectural, mathematical or maintainability implications., • Technical leadership potential - shows the capacity to grow into a broader leadership role over time through ownership, judgement and consistency., • Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3d design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ UK Benefits include: Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

Flagship Labs 119 Inc. (FL119) is seeking a (Senior) Scientist, Computational Neuroscience to join our team in Cambridge, MA. You will build scalable computational pipelines for biophysical neuron modeling and apply machine learning to large neural datasets. Leveling is flexible based on experience; international candidates are welcome. You will collaborate with a cross-disciplinary team and help shape the technical roadmap in a dynamic R&D environment. #J-18808-Ljbffr

Specialist Software Engineer Cambridge, UK | Hybrid Join a cutting-edge R&D team developing next-generation cybersecurity technology designed to tackle sophisticated, real-world threats. This is a rare opportunity for an experienced engineer to combine hands-on development, software architecture, and technical leadership in an innovation-driven environment. • Lead the design and development of complex software systems., • Drive technical strategy and architecture decisions., • Develop scalable, production-grade solutions from concept to deployment., • Mentor engineers and champion engineering best practices., • Collaborate with cross-functional teams to deliver high-impact technology., • Senior, Lead, Staff, Principal, or Architect-level software engineering experience., • Strong expertise in Python, C++, Rust, or JavaScript., • Proven experience with software architecture and system design., • Experience with Docker, CI/CD pipelines, Git, and cloud platforms (AWS, Azure, or GCP)., • Strong analytical and problem-solving skills., • Ability to influence technical direction and work autonomously., • Cybersecurity, malware analysis, threat detection, or security product experience., • Statistical analysis, machine learning, or complex systems experience., • Previous mentoring or technical leadership experience. Work on genuinely challenging technical problems, shape innovative products, and collaborate with some of the brightest minds in engineering and cybersecurity. Salt is acting as an Employment Agency in relation to this vacancy. #J-18808-Ljbffr

Salt is hiring a Senior Product Manager to join the Integrations team, helping shape the direction of a key product area in a growing cyber security-focused business. You will ensure features and strategy meet user and market needs while serving as a subject matter expert. You will work closely with R&D, GTM, Product Marketing and UX to drive collaboration and product effectiveness across the organisation. #J-18808-Ljbffr

We are working with a highly successful international software group to recruit an Investment Manager / M&A Manager, with the potential to appoint at Associate Director or junior Director level depending on experience. The business forms part of a large, international listed software group that acquires, manages and grows specialist software companies across multiple markets. With an ambitious acquisition strategy and significant plans for continued growth, this is an excellent opportunity for an experienced Corporate Finance, M&A or Investment professional to move into a high-impact in-house role. As a key member of the M&A and Investment team, you will have exposure to the full investment lifecycle, from identifying and assessing acquisition opportunities through to transaction execution and integration. You will work closely with an entrepreneurial, high-energy investment team and senior leaders across the wider organisation, providing significant exposure to senior decision-makers and the opportunity to make a tangible commercial impact. The role is hybrid and location-flexible. A Midlands, Cambridgeshire or Southern UK location would be preferred, but this is not a pre-requisite. You will play a central role in evaluating and executing acquisitions of vertical-market software businesses, working across a broad range of M&A and investment activities. Key responsibilities will include: • Engaging directly with shareholders, management teams and financial advisors at prospective acquisition targets., • Evaluating the strategic, commercial and financial quality of potential software acquisitions., • Reviewing, analysing and presenting information received from prospective targets., • Building sophisticated valuation and financial models to assess potential transactions and determine appropriate pricing and deal structures., • Leading or contributing to financial and operational due diligence, working alongside specialist teams covering areas such as HR, R&D, tax and legal., • Playing an active role throughout the execution and management of M&A transactions., • Preparing detailed investment memorandums and presenting the investment rationale, key risks and proposed post-acquisition strategy., • Supporting the integration of newly acquired businesses and monitoring post-closing performance against expectations., • Reporting performance and key insights to Group and Portfolio leadership., • Identifying opportunities to improve the performance of acquired businesses and communicating recommendations to senior management., • Building strong relationships with internal stakeholders, entrepreneurs, advisors and other transaction professionals., • Travelling nationally and internationally when required. We are looking for an ambitious, commercially minded M&A / Corporate Finance professional who is keen to develop their career within a high-growth international investment environment. You are likely to have: • ACA / ACCA qualification or equivalent, ideally gained within a top-tier accounting firm, or experience within Corporate Finance, Investment Banking, M&A or Strategy Consulting., • Strong financial analysis, modelling and valuation skills, with advanced Excel capability., • Experience of analysing businesses and translating complex or imperfect data into clear, commercially focused conclusions., • Excellent academic credentials and a strong track record of performance within your current or previous organisation., • Strong analytical, problem-solving and decision-making skills, combined with exceptional attention to detail., • The ability to manage multiple priorities and work effectively in a fast-paced environment where information may initially be incomplete or ambiguous., • Excellent written and verbal communication skills, with the confidence and professionalism to engage with senior executives, shareholders, lawyers, accountants and investment bankers., • A high level of ambition and the desire to build a long-term career within an international M&A and investment organisation., • A genuine interest in, or curiosity about, the technology and software sector would be advantageous. This is a particularly exciting opportunity for someone looking to take their Corporate Finance / M&A career in-house and gain significantly broader exposure to the investment process. You will join a highly successful international software group with an ambitious acquisition strategy, providing the opportunity to work on high-quality transactions, interact with senior stakeholders and play a meaningful role in the growth of the organisation. There is also significant scope for career development within both the M&A / Investment team and the wider international group, making this an excellent opportunity for an ambitious individual looking to become a future investment leader. The successful candidate will receive a competitive salary, excellent benefits and a strong performance-related bonus, together with outstanding long-term career prospects. #J-18808-Ljbffr

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Senior Software Engineer, AI Services Location: Cambridge, United Kingdom (hybrid) Employment Type: Full-Time We are looking for passionate and seasoned Software Engineers to join our Core AI Services team. In this role, you will help design, develop, and scale AI‑enabling platform services and public APIs that are secure, reliable, and cloud‑native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. If you are a seasoned engineer who is energised by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you. You will be part of a Scrum team to build innovative, standards‑compliant, secure and production‑grade AI capabilities, with a builder mindset, rapid prototyping and continuous improvement with agility of a start‑up. • Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development., • Build scalable, fault‑tolerant cloud‑native services on Microsoft Azure, ensuring high performance and reliability., • Develop secure, well‑documented public APIs and SDKs for consumption by internal and external developers., • Collaborate with cross‑functional teams to deliver end‑to‑end solutions across data pipelines, orchestration, and service APIs., • Embed robust security controls to protect sensitive data and ensure secure access to AI services., • Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence., • Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation., • Extensive experience in software engineering, preferably in platform or cloud‑native service development, ideally using Microsoft and .NET technologies., • Strong expertise in RESTful API design, versioning, testing, and lifecycle management., • Proficient in securing APIs, managing authentication/authorization and data privacy practices., • Excellent problem‑solving skills, with the ability to analyse complex technical challenges and propose scalable solutions., • Hands‑on experience architecting and deploying scalable cloud‑native services using PaaS, Docker, and Kubernetes to manage complex, containerised AI workloads., • Experience working with Large Language Models (LLMs), AI orchestration and agentic frameworks., • Experience with tools for automated testing and evaluation of AI outputs., • Experience working in Agile teams and collaborating across global R&D locations. Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: _ We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on‑site 50% of your working hours to support collaboration and connection. Some positions are fully office‑based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: _ AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting‑edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: _ Find out more: _ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third‑party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis. #J-18808-Ljbffr

CPU Hardware Architect – CPU Architecture / ISA / Arm / RISC-V / MIPS / Hardware-Software Co-Design We are currently partnered with a global technology organisation with a major R&D presence in Cambridge, supporting the development of a new and competitive CPU architecture. They are looking for a CPU Hardware Architect to contribute to architectural definition, hardware/software interfaces and processor design. You will work closely with CPU architects and engineering teams to translate product and system requirements into practical architectural solutions, while helping define interfaces between CPU hardware, firmware and operating systems. • Contribute to the definition and development of next-generation CPU architectures., • Define and refine interfaces between CPU hardware, firmware and operating systems., • Work closely with CPU architects and engineering teams to develop architectural specifications., • Translate system, product and user requirements into practical CPU architecture solutions., • Support processor architecture modelling, analysis and evaluation., • Contribute to hardware/software co-design and optimisation activities., • Analyse architectural requirements and assess potential implementation approaches., • Collaborate with geographically distributed engineering teams across architecture and development functions., • Support the development and evaluation of modern CPU core architectures., • 4+ years of relevant experience in CPU architecture, processor architecture or CPU microarchitecture., • Strong understanding of Instruction Set Architecture (ISA) and assembly language., • Knowledge of one or more modern processor architectures, such as Arm, RISC-V and/or MIPS., • Strong understanding of modern CPU core microarchitecture., • Software development experience using C, C++, assembly and/or Python., • Experience modelling microprocessors using high-level languages such as C or C++., • Experience with Advanced Vector Extensions (AVX)., • Knowledge of Arm Scalable Vector Extension (SVE)., • Knowledge of Arm Scalable Matrix Extension (SME)., • Experience with Confidential Compute Architecture (CCA). CPU Architect / CPU Hardware Architect / CPU Architecture / Hardware Architect / Processor Architect / CPU Microarchitecture / Processor Microarchitecture / CPU Core / Processor Design / Instruction Set Architecture / ISA / Assembly / Arm / Arm Architecture / Armv8 / Armv9 / RISC-V / MIPS / C / C++ / Python / Microprocessor Modelling / CPU Modelling / Architectural Modelling / Hardware/ Firmware / Firmware Interfaces / Operating Systems / Hardware/Software Co-Design / Hardware/Software Co-Optimisation / AVX / Advanced Vector Extensions / SVE / Scalable Vector Extension / SME / Scalable Matrix Extension / CCA / Confidential Compute Architecture / Morello / CHERI / Capability Hardware Enhanced RISC Instructions / Compiler Backend / Code Generation / Compiler Architecture / Performance Analysis / Performance Optimisation By applying to this role, you understand that we may collect your personal data and process it in line with our privacy policy. https://eu-recruit.com/wp-content/uploads/2025/01/European-Tech-Recruit-Privacy-Notice-2025.pdf #J-18808-Ljbffr

Do you want to drive the electronics vision behind cutting‑edge laboratory automation as Engineering Manager in the Electronics team at SPT Labtech? You will own technical authority across electronics, motion control, and low‑level system integration, while leading and developing a high‑performing engineering team. Remaining hands‑on in design, architecture, and problem‑solving, you will work closely with software and mechanical teams to deliver precise, reliable, high‑performance control of complex electromechanical systems. This role suits a senior engineer with deep electronics and embedded systems expertise, strong motion‑control capability, and the ability to solve complex technical challenges while collaborating effectively across disciplines. Based in Cambridge, SPT Labtech makes products that transform the way scientists work. For decades, our expert scientists, engineers and business innovators have provided scientists with world‑leading, innovative solutions for liquid handling, sample preparation, and sample management that help accelerate research and make a real difference to human health. We work collaboratively with our customers, building trusted relationships that enable us to deliver exceptional, personalised experiences designed for real‑world challenges in the lab. Want to be part of a team that’s truly making a difference? • Establish and develop the electronics engineering team, ensuring high technical standards and professional growth. Ensure solutions are compliant with regulation and satisfy Quality, Delivery and Cost targets., • Work with programme and portfolio leads and the R&D Director to shape priorities and resource plans, ensuring the electronics team is aligned and able to deliver effectively., • Establish and improve engineering processes, design reviews, documentation standards, and verification approaches., • Foster a culture of ownership, collaboration, and pragmatic problem‑solving., • Manage small and medium projects as needed as well as providing technical direction and best practice guidance to team members., • Act as the authority for electronics design and motion control across the full product range., • Define and maintain architecture for electronics and control systems, ensuring alignment with software, firmware, and mechanical teams., • Take a system‑level view of design decisions, ensuring electronics and motion‑control choices support overall product architecture, performance, and reliability., • Lead motion‑control strategy, providing direction on actuator requirements, drive‑system architecture, and motion‑control approaches that integrate cleanly into the wider system., • Provide strong technical input on embedded system design, hardware‑software interfaces, and low‑level integration, working collaboratively with firmware and software engineers., • Offer hands‑on expertise in circuit design, PCB reviews, hardware debugging, instrumentation, and evaluation of electromechanical control behaviour., • Work closely with the software team to ensure seamless integration of motion and system control into the broader software stack., • Collaborate with mechanical engineering on actuator selection and system dynamics, ensuring chosen actuators meet the control, performance, and integration requirements of the motion system., • Partner with firmware developers on interface definitions, partitioning decisions, and hardware‑software integration., • Engage with manufacturing, quality, and service teams to ensure robust product introduction and sustained field performance., • Coordinate activities of partners and service providers in order to obtain services, supplies & equipment in collaboration with Purchasing., • Own electronics deliverables across the full development lifecycle: concept, architecture, design, verification, compliance, release, and continuous improvement., • Contribute to requirements definition, hazard analysis, and design risk assessments., • Ensure adherence to EMC, safety, and regulatory standards relevant to scientific instrumentation and automation., • Support the transition to manufacturing, including design for manufacture/test, supplier engagement, and production troubleshooting., • Oversee obsolescence management and sustaining engineering for existing products. You will be: • Decisive, technically rigorous, and hands‑on., • A strong problem‑solver able to cut through complexity and ambiguity., • A collaborative communicator who aligns electronics, firmware, software, and mechanical perspectives effectively., • Motivated by building capability, improving design quality, and delivering robust products., • Able to thrive in multidisciplinary engineering environments., • Strong hands‑on background in electronics design (analogue, digital, power, sensing, comms)., • Substantial experience with motion control in electromechanical or automation systems, including system‑level motion architecture and integration with software., • Experience applying control‑theory principles to real‑world electromechanical systems (feedback, stability, system response, practical tuning)., • Deep experience with microcontrollers (e.g., ARM/Cortex‑M or similar), including selection, hardware integration, and collaboration on embedded firmware development., • Demonstrable capability in designing and integrating complex electromechanical control systems., • Skilled in practical debugging using scopes, logic analysers, JTAG tools, and diagnostic techniques., • Experience in laboratory automation, scientific instruments, robotics, industrial automation, or similar motion‑intensive domains is highly advantageous., • Experience managing or technically leading an engineering team, or have the desire to step into a management position., • Ability to set technical direction, make informed architectural decisions, and clearly communicate trade‑offs., • Comfortable remaining hands‑on while managing delivery and people., • Proven ability to improve engineering processes and elevate team capability., • Experience delivering hardware‑based products through a structured development lifecycle in a quality‑driven environment (ISO 9001, ISO 13485, or similar)., • Comfortable with verification, design reviews, configuration control, interface management, and risk assessment., • Experience collaborating with manufacturing partners and dealing with the realities of production hardware., • Experience of clearly articulating requirements and design details., • Degree in Electronics Engineering, Mechatronics, Robotics, or a related discipline., • Further qualifications or chartership (CEng) beneficial but not essential. You’ll be working with talented professionals in a motivated and driven team. We offer a competitive salary package and comprehensive, valued benefits, including private medical insurance and a generous pension plan. We embrace diversity and inclusivity, regardless of race, ethnicity, gender, gender identity, sexual orientation, physical ability, or family status. We prioritise supporting our employees' diverse needs as we strive for excellence together. If the above resonates with you, apply with an up‑to‑date CV and be a part of our journey to reshape the future of science. #J-18808-Ljbffr

Location: Cambridge, United Kingdom | Gothenburg, Sweden Job Type: Full-Time Employer: AstraZeneca Location: Cambridge, United Kingdom | Gothenburg, Sweden Job Type: Full-Time Employer: AstraZeneca As a Principal Health Informatics Scientist you will work closely with primary stakeholders within the Medical Evidence & Observational Research team, driving and accelerating delivery of technical capabilities to supporting evidence generation and studies. You will assist the due diligence on new data providers/vendors to advance AZ Real World Evidence (RWE) data maturity, help shape the right RWE data strategy for a range of Therapeutic Areas and provide informatics support for data acquisitions. You will also serve as a supportive member of the observational study team to support real-world observational studies. The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in both Public Health, Pharmaceutical Research and Development and Commercial context. Hands on experience with working with real world datasets is essential. Experience working in Oncology is desirable. The role provides hands on expertise, task management and support to Informaticians/Information Scientists, promoting best practice across multiple domains, and/or stakeholder groups. The salary is competitive and there are a full range of flexible benefits. • PhD in medical informatics or other advanced degree in life sciences with post doctoral or other training/work in Medical Informatics or related field, • Expertise in EMR/Health IT, disease registries, and claims databases, • Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies, • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data, • Expertise in methods development and application using languages - strong SQL skills are required, together technical skills in either R or SAS., • Experience in advanced visualisation and visual analytics of routinely collected healthcare data, • Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling, • Strong track record in delivering leading edge informatics solutions in pharmaceutical R&D and commercial environments, • A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies, • Demonstrated ability to build long‑term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value, • Ability to lead & manage multi-disciplinary health informatics projects, • Strong track record of delivering large, cross functional projects, • Experience working in a global organization and delivering global solutions Knowledge of Oncology Therapy Area is desirable, • Previous technical experience with MATLAB and / or Python would be an advantage. #J-18808-Ljbffr

TOGL(Holdings)Limited is a diagnostics company focused on diseases of the gastrointestinal tract. Our current research and validation programme targets accurate and efficient triage of patients with symptoms of colorectal cancer (CRC). We are looking for proactive, experienced, focused, and enthusiastic individuals who can make a significant contribution to the continued growth and success of our dynamic and forward-looking company. As we progress towards commercialising a test for CRC, we are looking for a Regulatory Manager to lead the development process through relevant regulatory pathways. • Lead Regulatory Affairs activities for medical devices, in vitro diagnostic medical devices (IVDs), including software as an IVD (SaMD) and genomic diagnostic technologies., • Develop, maintain and update Technical Documentation in accordance with EU MDR, IVDR and other applicable regulatory requirements., • Support the development and implementation of regulatory strategies for new product development, product changes and lifecycle management., • Prepare and maintain regulatory documentation including Technical Files, Risk Management Files, Clinical Evaluation Reports (CERs), Performance Evaluation Reports (PERs), Biological Evaluation Reports (BERs) and associated technical documentation., • Provide regulatory input throughout the product development lifecycle, ensuring compliance with design control, verification, validation and change management processes., • Lead regulatory activities relating to analytical performance, clinical performance, scientific validity and software validation., • Support Post-Market Surveillance (PMS), vigilance, trend reporting and regulatory compliance activities., • Conduct regulatory impact assessments and provide guidance on product, manufacturing and quality system changes., • Work collaboratively with R&D, Software, Bioinformatics, Clinical and Quality teams to ensure regulatory requirements are integrated into product development., • Support regulatory submissions, Notified Body interactions and market access activities within the EU, UK and other international markets., • Provide regulatory training and technical guidance to internal teams and support the Person Responsible for Regulatory Compliance (PRRC) where required., • Monitor changes to relevant regulations, standards and guidance, assessing their impact on the business and products., • Degree in Biomedical Science, Molecular Biology, Genetics, Life Sciences or a related scientific discipline., • Significant Regulatory Affairs experience within the medical device and/or in vitro diagnostic (IVD) industry., • Strong working knowledge of the EU In Vitro Diagnostic Regulation (IVDR (EU) 2017/746) and Medical Device Regulation (EU MDR 2017/745)., • Demonstrable experience developing and maintaining Technical Documentation for medical devices and/or IVDs., • Experience supporting the regulatory development of novel IVD technologies, including genomic, molecular and software-based diagnostics., • Experience with Software as an IVD (SaMD) and an understanding of software lifecycle and validation requirements (e.g. IEC 62304)., • Strong understanding of design control, product lifecycle management and regulatory change management., • Hands-on experience with Risk Management in accordance with ISO 14971., • Experience preparing or contributing to Clinical Evaluation Reports (CERs), Performance Evaluation Reports (PERs), Biological Evaluation Reports (BERs) and Post-Market Surveillance (PMS) documentation., • Experience supporting regulatory submissions and interactions with Notified Bodies and Competent Authorities., • Working knowledge of ISO 13485 and associated regulatory standards., • Excellent written and verbal communication skills, with the ability to communicate effectively across multidisciplinary teams., • Highly organised, pragmatic and able to manage multiple regulatory projects within a fast-paced development environment., • Excellent written and verbal communication skills in English. Desirable • Experience with Class C IVDs under IVDR., • Experience supporting AI-enabled or bioinformatics-driven diagnostic technologies., • Experience with analytical performance, clinical performance and scientific validity studies., • Experience with UKCA, FDA or other international regulatory frameworks., • Previous experience acting as, or supporting, the Person Responsible for Regulatory Compliance (PRRC)., • 25 days annual leave (plus bank holidays)., • Pension contribution., • Competitive Salary., • Employee wellbeing initiatives. #J-18808-Ljbffr

Titre :Business Process LeadSociété:Ipsen Biopharm LtdA propos d'Ipsen:Ipsen est un groupe biopharmaceutique mondial de taille moyenne, spécialisé dans les médicaments transformateurs dans trois aires thérapeutiques: l'oncologie, les maladies rares et les neurosciences. Forts de près de 100 ans d'expérience en développement, avec des Hubs mondiaux aux États-Unis, en France et au Royaume-Uni, nous focalisons nos efforts là où les besoins médicaux non satisfaits sont importants, grâce à la recherche et à l'innovation.Nos équipes passionnées, présentes dans plus de 40 pays, se concentrent sur l'essentiel et s'efforcent chaque jour d'apporter des médicaments aux patients dans 88 pays. Nous construisons un environnement de travail qui met en avant un leadership centré sur l'humain et favorise une culture de collaboration, d'excellence et d'impact. Au sein d'Ipsen, chaque individu est encouragé à être soi-même, à grandir et à s'épanouir aux côtés du succès de l'entreprise. Rejoignez-nous dans notre démarche vers une croissance durable, en créant un impact réel sur les patients et la société.Pour plus d'informations, visitez notre site web à l'adresse et suivez nos dernières actualités sur et .Description de l'emploi :POSITIONBusiness Process LeadWHAT - Summary & Purpose of the PositionThe Business Process Lead is a senior individual accountable for the end-to-end management of Clinical Development business processes. The role will be responsible to ensure that clinical development processes consistently deliver quality, efficiency, and optimize clinical operations outcomes.WHAT - Main Responsibilities & Technical CompetenciesThe core responsibilities will include1. Strategy & Vision* Define Clinical Development Process Objectives and Management: Align the process vision, goals, and mission with R&D organisational strategies.* Set Targets: In conjunction with other CDO/R&D leaders embed the agreed Key Performance Indicators in the CDO framework and processes* Design and maintain the process Framework: Establish how the processes should be managed within the CDO organization* Systems Support: Support evaluation and selection of systems to be used across the Clinical Operations functions. Ensure integration of systems and processes to drive operational efficiencies across the CDO functions2. Governance & Compliance* Establish Policies: Develop and maintain the rules, procedures, and controls governing the CDO processes.* Ensure Adoption: Validate that team members (colleagues and/or FSP) are acting in accordance with the agreed policies and define corrective actions if they aren't.* Risk Management: Identify potential roadblocks, conflicts, and risks within the process and put mitigating measures in place.3. Performance Monitoring* Track KPIs: Continuously monitor and report KPI scorecard to CDO Leadership and Asset Teams on process performance against target plans.* Evaluate Outcomes: Analyze data gathered from the process to ensure it yields the expected quality and return on investment.4. Continuous Improvement* Drive Process Optimisation: Champion continuous improvement to eliminate inefficiencies.Define process changes that mature the Clinical Development processes and improve their overall health. Conduct external environment scanning for new ways to optimise the processes across the Clinical Development Paradigm Support training material review for new systems and processes5. Stakeholder Alignment* Cross-Functional Coordination: Synchronize process goals across Clinical Development and cross functional lines that support the asset teams, to prevent disjointed, siloed work.* Act as the Escalation Point: Serve as the definitive decision-maker and single point of contact when major process-related issues or improvement suggestions ariseHOW - Behavioural Competencies RequiredCompetencyDescriptionCompetency Behavioural MarkersExcellence in ExecutionPlanning and prioritizing work to meet commitments aligned with organizational goals. Consistently achieving results, even under tough circumstances.- Approaches priority setting and setting the stage through the lens of execution.- Establishes clarity about the goals, accountabilities, timelines, and next steps; can identify/spot opportunities for real impact on patient and society.- Able to be focused and performance-driven with clear KPIs.- Plans and aligns effectively (steps, resources, timelines etc.).- Displays a commitment to best practice sharing and setting.- Promotes single point of accountabilities.Ensures AccountabilityHolding self and others accountable to meet commitments.- Builds environment where people ask for clarification when accountabilities are unclear.- Consults/seeks stakeholder views and ensures decisions are made by consent vs consensus.- Takes personal accountability for decisions, actions, successes and failures.- Follows through on commitment and makes sure others do the same.Communicates EffectivelyDeveloping and delivering communications that convey a clear understanding of the unique needs of different audiences (CPMs and CRAs)- Asks open questions and digs deeper; shows care and respect for different perspectives.- Communicates transparently, tells it how it is while keeping communication respectful.- Builds clear and crisp messages with structure and focus.Taking a stand (courage)Stepping up to address difficult issues, saying what needs to be said to optimise quality and compliance* consistently speaks up and challenges the status-quo; takes a stand, is decisive and does what is right, even when it is unpopular;- Quality driven;- Faces fears, demonstrates appetite for stepping out of their comfort zone when challenging quality and complianceHOW - Knowledge & ExperienceKnowledge & Experience (essential): A minimum of 8 years of previous Pharmaceutical Industry experience is required, with at least 5 years of GXP experience within clinical research Well-developed skills and knowledge of clinical operations business processes and practices (i.e., SOPs governing clinical research activities) A minimum of 4 years experience in development, management and leadership of Clinical Operations Business Process Demonstrated ability to deliver a culture of continuous improvement Planning and tracking skills, able to see the big picture, well organized, focused on results, customer focused, capable of managing multiple projects, excellent time management with respect to priorities and self-management.Knowledge & Experience (preferred): Knowledge of the overall drug development process Experience across all Clinical Trial Phases 1-4 would be preferred Experience in quality assurance activities, including audits of clinical investigative sites, systems and vendors, and audits of regulatory submissions is an asset Ability to influence and motivate professional colleagues and stakeholders Proven conflict resolution/management and negotiation skills Ability to independently plan, organize, coordinate, manage and execute assigned tasks Demonstrated clarity of communication Demonstrated ability to influence key internal and external stakeholders Experience of the key customers' business processes and practices Demonstrated ability to engage with authorities, trade associations and key clinical trial sitesEducation / Certifications (essential): Bachelors Degree in life sciences or a professional degree in life sciences (eg Nursing, Pharmacy)Education / Certifications (preferred): Project Management Certificate (PMP/PRINCE2 etc.)Language(s) (essential): Global role so Fluency in English is critical#LI-MM1 #LI-hybridWe are committed to creating a workplace where everyone feels heard, valued, and supported; #J-18808-Ljbffr

Sagentia Medical is a specialist science and engineering consultancy supporting MedTech companies across diagnostics, surgical, interventional and other medical devices. Working across the full R&D lifecycle - from early-stage concept development to product realisation and launch - we help organisations reduce innovation risk and deliver solutions that meet clinical and user needs. Sagentia Medical is part of Science Group plc. We are looking for a senior commercial individual with a background in healthcare/medical device innovation and R&D to join Sagentia Medical’s dynamic and growing team in our Harston (Cambridge) or Epsom office. Reporting into the Managing Partner, you will play a key role in contributing to the continued growth and success of the business. To be successful in this role you will lead business development and client relationship management activities drawing upon your R&D / MedTech background. You will provide input to our strategy and will ultimately be responsible for profitable sales and successful project delivery within nominated accounts and sub-sector marketing campaigns. You will have the opportunity to travel overseas to visit and work with our clients; it is expected that you will be travelling around 20% of your time (US, Europe and Asia). • Act as main point of contact between Sagentia Medical and client account., • Network widely to maximize exposure to Sagentia Medical within the client’s organization, • Seek opportunities within target accounts to grow additional revenue streams for Sagentia Medical., • Maintain sales and revenue forecast, • Responsible for client communication on commercial matters; ensure issues are addressed that are raised by the client or by Sagentia Medical., • Collaborate with Business Development Managers within the team; source new sales leads through proactive sales & marketing activities., • Visit prospects to identify potential client needs sell the value proposition of Sagentia Medical., • Own and coordinate the writing and delivery of compelling sales & marketing material (e.g. discussion documents, proposals, case studies, capability decks), • Take direct ownership of the sales process, including specifically the closing of sales opportunities contributing to the growth of the sales pipeline, • Responsible for reviewing proposals and project deliverables prior to client release, • Establish areas of opportunity within specific market sub-sectors, working with our marketing team, • Take lead on messaging and speak at events on key thought leadership topics, • Feedback market information to the technical & marketing teams to support product and service development, • Responsible for negotiating contracts; work with the Managing Partner and the Group’s executive team as appropriate, • Demonstrate commercial and business awareness and manage situations effectively that will enhance the brand and perception of Sagentia Medical, • Oversee and where necessary provide high level contribution to project delivery ensuring it meets client requirements, • Link client stakeholder needs with technical delivery of project and where appropriate translate technical delivery into client language, • Where appropriate lead delivery meetings/facilitate workshops etc., • Degree qualifications to Masters/PhD level from an Engineering or Science background preferred; MBA would be beneficial, • Experience of R&D and an understanding of medical device development. In particular, knowledge of the product development life cycle of surgical devices and robotics, in vitro diagnostics, drug delivery, neurotech, digital/connected health, imaging devices or medical software would be of particular interest., • Approximately 10+ years post education work experience, • Experience of operating at a senior level (CXO, VP or R&D Director) within large blue chip corporates and startups, • Experience in delivering against defined sales and business development targets, • Evidence of success in building a rapport and trust in customers, • Experience of new product/device introduction, • Experience of operating with both European and US organisations/markets would be highly desirable. We are committed to career development and make a focused effort to offer bespoke training and mentoring to allow each individual to thrive within their environment and realise personal potential. We offer a highly competitive salary and benefits package #J-18808-Ljbffr

Department: Software Employment Type: Permanent - Full Time Location: Cambridge Sagentia Innovation is a science and engineering company providing product advisory and development services across sectors including medical, food and beverage, consumer, defence, industrial systems, chemicals, and energy. We partner with clients from leading global brands to start-ups to identify growth opportunities through innovative solutions, taking pride in their success. Our projects span surgical robots for minimally invasive surgery, non-invasive prenatal testing, precision agricultural machinery, and mobile apps for implantable devices, among others. We are looking for a versatile Software Engineer who can move confidently between embedded software and PC application development. This is an excellent opportunity for someone who enjoys solving complex engineering problems, working close to hardware, and building robust software that helps bring innovative products to life. You will work across cutting-edge medical, industrial, and scientific technology projects, collaborating with electronics, mechanical, systems, and human factors specialists to deliver safe, effective, and innovative software solutions for our clients. While you will be hands-on with code, you will also have the opportunity to influence solution architecture, define technical approaches, prototype new ideas, and help shape the engineering direction of client projects. Projects range from focused proof-of-concept developments through to multi-year product development programmes. You will work as part of talented, collaborative, cross-disciplinary teams, gaining exposure to best practice in software, electronics, mechanical engineering, systems engineering, and product development. Your work will be based at Sagentia Innovation's R&D centre located in Harston, Cambridge with opportunities for short travel to client sites in Europe or USA. You will enjoy a fast-paced, varied environment where no two projects are the same, and where your ability to bridge embedded systems, PC software, and real-world engineering challenges will make a visible impact. • Develop software across embedded devices, hardware interfaces, and Windows or Linux PC applications., • Work with multidisciplinary teams to integrate software with electronics, sensors, instruments, robotics, and automated systems., • Contribute to software architecture, implementation, debugging, verification, and technical documentation throughout the product development lifecycle., • Take ownership of technical tasks and deliver high-quality solutions with appropriate guidance and collaboration., • Support design reviews, testing activities, and continuous improvement of engineering practices., • Professional software development experience spanning embedded systems, PC applications, or ideally both., • Strong C/C++ skills for embedded development, alongside experience with technologies such as C#, .NET, Python, or modern C++ for PC applications., • Practical knowledge of microcontrollers, embedded Linux, RTOS or bare-metal systems, and communication interfaces such as UART, SPI, I2C, USB, Ethernet, Bluetooth, or CAN., • Experience debugging and integrating software across hardware, systems, and user-facing applications., • Ability to contribute independently to technical work while collaborating effectively within a multidisciplinary team., • Exposure to regulated, safety‑critical, or high‑integrity development environments would be advantageous. You may be the right fit if you are naturally curious, hands‑on, and comfortable working across different layers of a system, from low-level device drivers and hardware interfaces through to desktop applications, user workflows, and test tools. We value engineers who: • Enjoy learning new technologies and applying them to real‑world challenges., • Can quickly understand complex systems and identify practical solutions., • Communicate clearly with both technical and non‑technical stakeholders., • Are adaptable and thrive in project environments that require a breadth of engineering skills., • Are ready to take increasing ownership of technical challenges while continuing to develop their expertise., • Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related discipline., • Demonstrated professional experience developing software in a commercial engineering environment., • The technical confidence to contribute independently, balanced with a willingness to learn from experienced colleagues and continue growing professionally. Alongside a stimulating work environment we offer a competitive salary and benefits package that includes, bonus, EAP, private medical care and free lunch. #J-18808-Ljbffr