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About Mursla Bio \n 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. \n 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. \n 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. \n \n The opportunity \n 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. \n 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. \n 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. \n \n Key responsibilities \n Team leadership \n\n • Lead and develop the multidisciplinary R&D team, with clear accountability for projects and experimental deliverables.\n, • Set objectives, provide regular feedback and coaching, and support the development of scientists at different levels of experience.\n, • Build a collaborative culture of scientific rigour, ownership and delivery, encouraging constructive challenge, open discussion and effective knowledge-sharing.\n\n \n R&D programme leadership \n\n • Own delivery of the R&D roadmap, translating scientific and product objectives into well-defined programmes, milestones and decision points.\n, • Develop and manage realistic project plans covering timelines, resources, dependencies, risks and contingencies, identifying and resolving technical bottlenecks early.\n, • Ensure programmes generate the evidence required for technical, product and commercial decisions, with clear reporting of progress, results, risks and resource use.\n\n \n Scientific and technical leadership \n\n • Provide strong scientific oversight across R&D programmes, particularly in extracellular vesicle biology, biomarker development, molecular biology, proteomics and nucleic-acid-based analyses.\n, • Ensure rigorous experimental design and effective integration of experimental and bioinformatics activities, with appropriate analysis and critical interpretation of multiomic data.\n, • Identify and evaluate new technologies and approaches that could materially improve Mursla Bio’s platform or development programmes.\n\n \n Translational and product development \n\n • Work closely with Product Management and other functions to translate product requirements into R&D activities and technical specifications.\n, • Lead the progression of biomarker programmes from research and discovery through assay development and towards clinical application.\n, • Ensure R&D programmes increasingly meet the validation, quality, reproducibility and documentation requirements associated with diagnostic and companion-diagnostic development.\n\n \n External collaboration \n\n • Lead scientific interactions with pharmaceutical, academic and clinical partners and external service providers.\n, • Scope and manage outsourced scientific work, with clear deliverables, timelines and quality expectations.\n, • Represent Mursla Bio scientifically in partner discussions, conferences and other external forums.\n\n \n About you \n Essential experience and capabilities \n\n • PhD or equivalent research experience in molecular biology, biochemistry, proteomics, cell biology, molecular diagnostics, computational biology or a related field.\n, • Significant experience leading complex R&D programmes in a commercial setting.\n, • Demonstrated experience leading and developing scientists in a multidisciplinary R&D environment.\n, • Strong project and programme-management capability, including management of milestones, dependencies, risks, resources and external providers.\n, • 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.\n, • Experience working closely with bioinformatics teams and interpreting complex biological datasets, including proteomic, sequencing or other multiomic data.\n, • Strong scientific experience in biomarker development, with the ability to critically assess experimental design, data quality and biological interpretation and progression towards robust assays.\n, • A pragmatic and collaborative approach, with the ability to operate effectively in a small, fast-moving company where priorities may evolve quickly.\n\n Desirable experience \n\n • Experience progressing research towards diagnostic, clinical or regulated applications, particularly in diagnostics or companion diagnostics.\n, • Experience contributing to scientific publications, grant applications, intellectual property or external scientific presentations.\n, • Experience supporting external scientific interactions, including pharmaceutical partnerships, due diligence or collaborations with academic and clinical groups.\n, • Experience with R&D budget and resource planning in a commercial environment.\n\n \n Apply: \n Please submit your CV and a concise cover letter to careers@mursla.com

\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

Antibodies.com is a young and innovative company that supplies high-quality protein research tools to life scientists. These tools enable researchers to analyse components of living cells at the molecular level which is essential for disease and therapeutics research. \n \n As a rapidly expanding organization headquartered in Cambridge (UK), with additional hubs located in the USA and Sweden, we have achieved a remarkable 100% year-over-year growth. This is a thrilling moment to become a part of our team and contribute to our mission of enabling researchers to discover more, for less. \n \n For more information on our company and its offerings, please visit www.antibodies.com. \n \n Role: \n \n A fantastic opportunity has arisen at Antibodies.com for an individual to lead our product data curation, working across our catalogue of life science research tools. This is a hands-on, highly Excel-based role: you'll manage large product datasets and ensure our product descriptions, images, and pricing are accurate and up to date across the catalogue, using VB.net-based tools to scrape and gather supplier and reference data. \n \n You'll also take ownership of developing our junior product data assistant, providing day-to-day guidance and structured training to bring them up to speed. We're looking for a dynamic, high-performing individual with the passion, skills, and ambition to thrive in a fast-paced start-up setting. \n \n Key Responsibilities: \n \n\n • Manage product data for our online catalogue, including processing new product lines, editing existing products, and ongoing refinement of existing data.\n, • Use and maintain VB.net-based tools to scrape and gather supplier and reference data to support product data accuracy.\n, • Train, support, and oversee a junior team member, setting them up for success and developing their skills over time.\n, • Build and maintain relationships by telephone and email with suppliers to ensure the continued accuracy of our product catalogue and price list.\n, • Co-ordinate with other team members to ensure the efficient processing of product catalogues and the fast onboarding of new suppliers.\n\n \n This is not a definitive list of responsibilities and it is expected that the role will be varied. \n \n Qualifications and Skills: \n \n\n • PhD in a life science field.\n, • Strong Excel skills, plus experience with or willingness to learn VB.net for web-scraping/data-gathering purposes.\n, • In-depth understanding of commonly-used protein biology techniques (either as a lab scientist or from a commercial perspective).\n, • Experience working with large datasets, with an understanding of common antibody-based applications to screen product data quality, and familiarity with databases such as UniProt, NCBI, and PubMed.\n, • Some prior experience mentoring, training, or supervising others is desirable, but not essential — full support will be given to develop these skills.\n, • Independent self-starter who is able to work with a high degree of autonomy.\n, • High-attention to detail and strong levels of accuracy in all tasks.\n, • Excellent written and oral communication skills.\n, • Strong time management, with the ability to prioritise and complete tasks effectively.\n, • Results orientated with the drive and ability to set and meet agreed objectives.\n, • Team player with good communication skills.\n, • Fluency in written and spoken English.\n\n \n Remuneration: \n \n We offer a competitive salary (commensurate with experience) and a company bonus scheme (10% OTE up to 20%) and company perks. \n \n How to Apply: \n \n If you are an organized, detail-oriented individual with a PhD and a passion for science, we’d love to hear from you! Please submit your CV to hr@antibodies.com.

The Company \n 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. \n 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. \n 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. \n \n Role Overview \n 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. \n 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. \n \n Key Accountabilities & Responsibilities \n Translational Medicine & Biomarker Strategy \n\n • Develop and execute integrated translational science strategies from early discovery through clinical development.\n, • Design and implement clinical biomarker strategies to guide decision-making, dose selection, risk mitigation, and patient stratification.\n, • Provide scientific expertise on human target validation, mechanism of action (MoA), target engagement, and clinical sampling strategies.\n\n Biomarker Discovery & Assay Development \n\n • Lead the Biomarker Discovery and Assay team in identifying, validating, and deploying target engagement and pharmacodynamic assays for clinical studies.\n, • Drive the application of innovative molecular technologies to accelerate biomarker discovery and translational insights.\n, • Integrate laboratory-based biomarker data with pharmacology and clinical datasets to inform programme decisions.\n\n Scientific & Organisational Leadership \n\n • Provide strategic scientific guidance across multidisciplinary project teams and serve as a subject-matter expert across Research and Development.\n, • Build external collaborations with academic institutions, biotech/pharma partners, and experts.\n, • Manage, mentor, and build organizational capabilities within the translational medicine team.\n\n Human Biological Samples (HBS) & Governance \n\n • Own the governance and operational framework for the compliant, ethical, and efficient use of HBS.\n, • Establish HBS sampling strategies within clinical development plans, maintaining SOPs and providing team training.\n, • Oversee the collection, processing, storage, and biobanking of HBS in compliance with legal, ethical, and regulatory standards.\n\n Quality, Compliance & Risk Management \n\n • Ensure team compliance with GLP, GCP, HSE, internal policies, and external regulations.\n, • Identify and mitigate scientific, operational, and regulatory risks across translational activities.\n\n \n Experience & Skills \n\n • Education & Experience: PhD (or equivalent) in a relevant scientific discipline with 10+ years in pharmaceutical R&D and drug development.\n, • Domain Expertise: Deep knowledge of immunology and/or respiratory disease biology, therapeutic mechanisms, and clinical development.\n, • Translational & Biomarker Leadership: Proven track record in developing translational/biomarker strategies, leading laboratory assay development, and deploying assays into clinical trials.\n, • HBS & Governance: Strong understanding of regulatory, ethical, and operational requirements for Human Biological Samples.\n, • Leadership & Collaboration: Demonstrated experience leading scientific teams, managing external collaborations, and communicating effectively with senior leadership.\n\n Desirable \n\n • Experience in precision medicine, patient stratification, or companion diagnostics (CDx).\n, • Track record of taking biomarkers from discovery through analytical validation to clinical implementation.\n, • Hands-on experience with advanced molecular profiling technologies (e.g., multi-omics).\n, • Experience supporting regulatory submissions/interactions or working in a fast-paced biotech environment.\n\n

Novogene is a leading global provider of genomic services and solutions. Leveraging the latest next-generation sequencing (NGS), bioinformatics expertise, and the largest sequencing capacity in the world, Novogene provides unsurpassed data quality and fast turnaround time to all our customers. \n \n We are seeking a proactive and data-driven Bioinformatics Specialist to join our Cambridge Team. \n \n This role is highly collaborative and requires drive, organisation, and foundational analysis skills. You will work closely with different business sectors and deliver project data analysis to support business growth. You are expected to support pipeline optimisation and support the team achieve higher goals. The successful candidate must be willing to commute to our Cambridge office when required. \n \n Job description: \n\n • Responsible for data analysis and result delivery for projects related to research and clinical services in Novogene's European laboratories, ensuring accurate, efficient project execution and delivery.\n, • Responsible for the maintenance, continuous optimization, and upgrading of data analysis pipelines and processes for clinical services, ensuring stable and efficient workflows that meet diverse requirements.\n, • Responsible for ensuring project operations comply with all relevant regulatory and compliance requirements, while continuously improving and supporting related quality assurance activities.\n, • Lead the resolution of BI-related pre-sale and after-sale issues. Attend customer meetings for BI troubleshooting to ensure customer satisfaction.\n, • Prepare marketing materials for specific products and conduct technical training and market promotion activities (e.g., seminars, webinars).\n\n \n Skills required: \n\n • PhD in Biology, Medicine, or a related field with background in next-generation sequencing.\n, • Minimum 1+ years of experience in an academic or industrial applied research environment involving biomedical data analysis.\n, • Experience in a clinical or biopharmaceutical environment is preferred.\n, • Proficient in using Linux/UNIX, Perl, R, Python, etc.\n, • Strong logical thinking, problem analysis, and problem simplification abilities.\n, • Excellent presentation, communication, and teamwork skills. Fluent in written and spoken English and Mandarin.\n, • Strong pressure management skills; comfortable with short-term business travel.\n\n \n All employment decisions at Novogene are based on business requirements on its positions and skill sets on applicants. The business is committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental conditions. \n \n Our privacy policy: \n https://www.novogene.com/eu-en/privacy-policy/?gl=1*1w6ksjs*up*MQ..&gclid=Cj0KCQjwuMuRBhCJARIsAHXdnqOgH94fnKpCUZRAZBfyifMnPwPWW-i79qDY1FSjDWJGyhkLfYM7xU0aAgBiEALw_wcB \n

The Company \n 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. \n As an AI-native biotech and a 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. \n 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. \n The Role \n We are seeking an accomplished and visionary Group Head, Immunology Biology & Program Lead to establish and lead Ailux’s Immunology Biology organization. Reporting to the VP, Head of Biology, Respiratory & Immunology, this individual will play a pivotal role in shaping Ailux's scientific strategy, portfolio direction, and future pipeline growth. \n The successful candidate will lead preclinical biology, translational research, and IND-enabling strategies across Ailux's respiratory and immunology portfolio, driving rapid, data-driven progression from target identification through early clinical development for novel biologics, multispecific antibodies, and peptide therapeutics. \n Working at the intersection of artificial intelligence, computational drug design, disease biology, and translational science, you will ensure that deep biological understanding, disease relevance, and differentiation strategies are embedded at the earliest stages of discovery and translated into clear development recommendations and portfolio decisions. \n This is a unique opportunity to build and shape Immunology Biology function from the ground up while working at the forefront of AI-enabled drug discovery and partnering closely with AI scientists, protein engineers, and translational experts to develop next-generation medicines. You will have significant influence on target selection, program prioritization, and portfolio strategy while helping unlock the full potential of AI-driven drug discovery. \n \n Key Responsibilities \n Scientific Leadership & Strategy \n\n • Establish and lead Ailux's Immunology Biology team, defining scientific strategy, operating model, organizational structure, and long-term functional vision.\n, • Build, recruit, develop, and inspire a high-performing multidisciplinary biology team spanning discovery biology, translational biology, and project leadership.\n, • Define and execute biology strategies supporting both target discovery and program progression from concept through IND and early clinical development\n, • Drive disease biology understanding and establish robust in vitro and in vivo evidence linking targets and mechanisms to clinical outcomes.\n, • Influence portfolio prioritization and investment decisions through clear, data-driven, and risk-balanced recommendations.\n, • Identify emerging scientific opportunities, new targets, and innovative therapeutic strategies that can expand Ailux's pipeline and competitive differentiation.\n, • Ensure rigorous scientific standards, robust experimental design, and high-quality decision-making across all programs.\n\n \n AI-Driven Discovery & Platform Integration \n\n • Partner closely with AI and computational scientists to maximize the impact of machine learning and computational design approaches.\n, • Generate high-quality biological and translational datasets that continuously improve predictive models and accelerate decision-making.\n, • Apply deep biological expertise to ensure AI-generated hypotheses, targets, and molecules are biologically meaningful and clinically relevant.\n, • Help define new workflows that integrate AI-powered target discovery, biologics design, and translational validation.\n, • Champion a data-centric culture that fully exploits the potential of AI to accelerate drug discovery timelines and expand therapeutic innovation.\n\n \n Cross-Functional Collaboration \n\n • Collaborate closely with Biology, Protein Engineering, AI Drug Design, Translational Sciences, CMC, Toxicology, Regulatory, and Clinical Development teams to deliver integrated program strategies.\n, • Provide immunology leadership for regulatory interactions and documentation, including IND/CTA submissions, briefing packages, and health authority responses.\n, • Identify, select, and manage external collaborators, academic partnerships, and CROs to ensure scientific excellence and operational efficiency.\n, • Represent biology and immunology expertise in governance and portfolio review forums.\n\n \n Qualifications, Education & Experience \n\n • PhD (or equivalent advanced degree) in Immunology, Biology, Pharmacology, or a related scientific discipline.\n, • >7-10 years pharmaceutical industry experience in immunology drug discovery and development.\n, • Demonstrated track record of progressing discovery programs through candidate selection and into clinical development.\n, • Experience leading multidisciplinary teams and influencing organizational and portfolio decisions within matrixed environments.\n, • Strong record of scientific innovation, strategic thinking, and translational problem-solving.\n, • Experience with advanced therapeutic modalities including Monoclonal antibodies, Multispecific antibodies, Engineered biologics, Peptide therapeutics, Long-acting delivery platforms\n, • Strong understanding of immune-mediated diseases and evolving therapeutic landscapes.\n\n \n Leadership Experience \n\n • Proven ability to build, lead, and develop high-performing scientific organizations.\n, • Demonstrated success influencing portfolio strategy, investment decisions, and program direction in highly matrixed environments.\n, • Strong people leadership experience, including recruitment, mentoring, talent development, and succession planning.\n, • Ability to thrive in a fast-moving biotech environment that values scientific excellence, innovation, ownership, and accountability.\n, • Passion for transforming drug discovery through AI, computational biology, and data-driven decision-making.\n\n \n Ideal Candidate Profile \n The ideal candidate is a scientifically ambitious leader who combines deep immunology expertise with strategic vision, strong people leadership, and enthusiasm for AI-enabled drug discovery. They are excited by the opportunity to shape both an organization and a portfolio, leveraging next-generation computational technologies to discover and develop transformative medicines for patients with immune-mediated diseases. Location: UK，Greater London or Cambridge. This role requires international travel.

The Company \n Ailux is an innovative biotechnology company focused on discovering and developing next-generation biologic and peptide 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. \n \n 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. \n \n 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. \n \n The Role \n We are seeking an experienced and strategic Head of Drug Safety to establish and lead Ailux’s translational safety sciences capability across its respiratory and immunology pipeline. Reporting to the VP, Head of In Vivo Bioscience, the role will shape nonclinical and translational safety strategies supporting the progression of novel biologics, multi-specific antibodies and peptide therapeutics from discovery through early clinical development. \n Working at the interface of computational design, translational biology and preclinical development, you will integrate mechanistic toxicology, pharmacology, DMPK and emerging clinical insights to enable informed, data-driven programme decisions and successful human translation. \n The role offers the opportunity to shape translational safety strategy across a next-generation respiratory and immunology pipeline spanning biologics, multi-specifics and peptide therapeutics. \n \n Key responsibilities \n Strategic leadership & portfolio impact \n\n • Lead the nonclinical safety strategy across Ailux’s pipeline\n, • Shape candidate selection and go/no-go decisions through integrated mechanistic and translational safety assessment, balancing target biology, therapeutic index, exposure margins and clinical risk.\n, • Partner closely with DMPK, bioscience, translational and clinical teams to integrate PK/PD, exposure-response and safety data into human dose prediction and first-in-human strategy\n, • Partner with Platform Science teams to evaluate and optimise emerging technologies.\n\n \n \n Scientific Oversight (Toxicology & Translational Safety) \n\n • Design and oversee nonclinical safety strategies supporting discovery through IND-enabling development for biologics, multi-specific antibodies and peptide therapeutics\n, • Provide strategic oversight across general toxicology, safety pharmacology, DART (developmental and reproductive toxicology), genotoxicity and investigative toxicology activities\n, • Integrate toxicology, pharmacology, DMPK, biomarker and translational datasets to support mechanistic interpretation and human risk assessment\n, • Interpret animal safety findings within the context of target biology, pharmacology and human relevance, including assessment of species translatability and exaggerated pharmacology risks\n, • Develop translational safety strategies incorporating exposure margins, toxicokinetics, biomarker approaches and emerging clinical data to support dose selection and clinical monitoring plans\n, • Contribute to optimisation of therapeutic index through integrated interpretation of efficacy, exposure and safety datasets\n, • Support first-in-human and early clinical programmes through integrated interpretation of nonclinical and emerging human safety data. Contribute to clinical risk mitigation strategies, safety monitoring approaches and dose escalation recommendations\n\n \n Execution & Programme Leadership \n\n • Oversee the design, execution and interpretation of GLP and non-GLP in vitro and in vivo safety studies across multiple species\n, • Apply quantitative and translational safety approaches, including toxicokinetic modelling and exposure-margin assessment, to support programme decision-making and clinical development strategy\n, • Define safety strategies for complex therapeutic modalities including multi-specific antibodies, engineered biologics, immune modulators, peptides and targeted delivery approaches\n, • Ensure delivery of high-quality, decision-enabling safety data packages supporting portfolio progression\n, • Act as Toxicology Lead on selected programmes, maintaining hands-on scientific contribution and strategic oversight\n\n \n Regulatory leadership \n\n • Lead nonclinical contributions to:\n, • IND / CTA / BLA / MAA submissions\n, • Regulatory briefing documents and responses\n, • Serve as a key scientific representative in regulatory interactions\n, • Ensure alignment between nonclinical findings, clinical strategy, and regulatory expectations\n\n \n Data interpretation & communication \n\n • Translate complex datasets into clear safety narratives and strategic recommendations\n, • Present nonclinical findings to:\n, • Internal leadership and governance boards\n, • External partners and regulators\n, • Ensure consistency and clarity across all safety communications\n\n External scientific presence \n\n • Maintain visibility in the scientific community through:\n, • Publications and conference presentations\n, • Engagement with external experts and advisors\n, • Help position Ailux as a leader in next-generation safety science\n\n Qualifications & experience \n\n • PhD (or equivalent) in toxicology, pharmacology, or related field\n, • ~10–15+ years in nonclinical safety within biotech/pharma\n, • Strong experience in:\n, • Designing toxicology strategies for regulatory submission\n, • GLP/non-GLP study oversight\n, • Regulatory interactions (FDA, EMA, etc.)\n\n Highly valuable \n\n • Experience supporting complex therapeutic modalities including multi-specific antibodies, engineered biologics, immune modulators, peptides and targeted delivery approaches\n, • Understanding of modality-specific safety considerations including exaggerated pharmacology, cytokine-mediated liabilities, immunogenicity, and tissue-specific toxicities\n, • Background in respiratory and Immunology indications preferable.\n, • Exposure to platform technologies or early-stage biotech environments\n\n Core competencies \n\n • Deep expertise in toxicology and nonclinical safety sciences\n, • Strategic thinking across the full drug development lifecycle\n, • Strong leadership with ability to scale teams in a growing company\n, • High adaptability in fast-paced, evolving environments\n, • Exceptional communication and regulatory writing skills\n\n

Are you ready to shape the future of crop genomics, invertebrate genomics and genetic variation resources at one of the world's leading bioinformatics institutes? We are seeking an internationally minded, community-focused Team Leader with expertise in genomics, particularly crop plants and their associated insect pests and vectors, to provide scientific leadership for Ensembl in the area of plants, invertebrates, and genomic variation, as well as the European Variation Archive (EVA). Ensembl is one of the world's leading platforms for the exploration and analysis of genomic data, supporting millions of users across academia, healthcare and industry. The resource is undergoing a major transformation to support the unprecedented expansion in the number of reference genomes and the breadth and complexity of biological data across the tree of life. Our recently released website has been designed to operate at this scale, enabling intuitive exploration, visualisation and dissemination of increasingly rich genomic datasets. Within this portfolio, priority species include major and minor crop plants such as wheat, rice, barley and rye, together with economically important insect pests and vectors including aphids and whiteflies. You will lead the development of data resources, analytical tools and community engagement activities that empower researchers worldwide. The European Variation Archive is the global archive for genetic variation data from non-human species, serving diverse research communities spanning crop and livestock improvement, biodiversity, evolutionary biology and functional genomics. The EVA is evolving to accommodate the rapidly increasing scale, diversity and complexity of variation data generated through advances in sequencing technologies, pangenomics and population genomics. As part of this scientific area, you will also lead the development of tools and resources for the interpretation of genomic variation in all species, including the widely used Ensembl Variant Effect Predictor (VEP). The Plant Genomics and Variation Team Leader will be based at EMBL-EBI and is an EMBL Faculty position, offering the opportunity to shape internationally recognised resources, influence scientific strategy, and work closely with a vibrant global research community. You will lead a multidisciplinary team consisting of approximately 15 staff members, including bioinformaticians and software developers, to deliver the EVA resource and lead the crop, invertebrate and genetic variation aspects of the Ensembl project. You will work closely with other Team Leaders within Ensembl, and more broadly with leadership across EMBL-EBI and other EMBL sites, to deliver integrated systems and data flows between our EMBL key partners. You will be given the opportunity to collaborate with talented and driven teams working towards a shared vision of delivering the very best scientific resources. Extensive engagement with external scientific collaborators, both academic and industrial, are a key part of this role. You will also engage with global standards organisations such as AgBioData and GA4GH to both feed into and adopt community standards. As a member of EMBL Faculty, you will also contribute to developing and delivering EMBL’s strategy. In addition to the above, more specific responsibilities will include: • Managing the team’s budget and staff; communicating with the EMBL’s HR and Grants offices, • Participating in related projects across EMBL-EBI, collaborating closely with other Team Leaders and other staff at EMBL-EBI, in particular with other Team Leaders within the wider Ensembl project, • Identifying appropriate funding opportunities and applying for external grants, • Participating in large-scale international scientific consortia as well as more targeted external collaborations with members of the crop community, • Presenting work in international meetings and preparing scientific publications This role reports to the Section Head for Genome Assembly and Annotation, Rob Finn. • A PhD degree in a relevant field (bioinformatics, life sciences, computing or statistics) or equivalent relevant experience;, • At least 6 years’ experience working in the field of bioinformatics or genomics applied to plant science/breeding;, • Experience working and interacting with a genomics research community, ideally crops;, • A demonstrable track record working with genetic variation data;, • Experience working with big data (gigabyte to terabyte scale);, • In-depth knowledge at least two of the following: genome assembly, gene annotation, genetic variant annotation;, • Hands-on experience working with AI tools;, • Project management and staff management experience;, • Experience in budget management and the grant life cycle from pre- to post-award., • Proven experience of scientific and technical writing including manuscripts and successful grants;, • Excellent communication skills and an ability to engage with stakeholders including domain experts, technical specialists and wider research and industry communities., • Excellent interpersonal skills, with a collaborative mentality., • A commitment to continual improvement of systems and processes and to supporting staff development, • The ambition and drive to develop high-impact data services for the wider research community, • Experience with Ensembl, EVA and other EMBL-EBI resources, • A track record in leading and delivering scientific projects, • Experience of some of the following technologies: workflow managers, high-performance computing platforms, databases, and data mining, • Experience in some of the following domains: software engineering, functional annotation, high throughput sequencing analysis, statistics, • Experience of some of the following technologies: Python, GraphQL, MongoDB, PostgreSQL, DuckDB, • Experience of developing and/or applying AI methods for genomic annotation, • Participation in multi-institute collaborations, • Participation in public-private scientific partnerships, • Experience leading work packages for complex multi-partner grants and chairing international steering groups and committees on technical subjects Contract length: 5 years, renewable to a maximum of 9 years Salary: Grade 9, monthly salary from £6,251.96 after tax, plus generous benefits and financial allowances based on family circumstances. Excluding personal pension and insurance contributions. Interviews: Will be held in person at our campus in Hinxton (likely 28th October and/or 18th November 2026). At EMBL-EBI you can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly available databases and tools which are crucial for the advancement of healthcare, food security, and biodiversity. We are located on the Wellcome Genome Campus, alongside other prominent research and biotech organisations, and surrounded by beautiful Cambridgeshire countryside. This is a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Watch this video to see how EMBL-EBI makes an impact. • Financial incentives: Monthly family, child and non-resident allowances, annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances., • Flexible working arrangements - including hybrid working patterns., • Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)., • Generous time off: 30 days annual leave per year, in addition public holidays., • Relocation package including installation grant (if required)., • Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)., • Family benefits: On-site nursery, 10 days of child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances., • Benefits for non-UK residents: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non-resident allowance., • International applicants: We recruit internationally and successful candidates are offered visa exemptions. Please take a look at our International Applicants page for further information., • EMBL is a signatory of DORA. Find out how we apply DORA principles to our recruitment and performance assessment processes here., • Diversity and inclusion: At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds. Closing Date 11/10/2026 #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

Bioinformatics, In Silico Sciences & Automation (BIX)Biologics Engineering (BE)Location: Cambridge, UK We areseekingan experienced and highly motivated informatics and data science professional to accelerate the digital transformation of Biologics Engineering by building the data, software, and automation foundations that enable next-generation scientific workflows. This role sits at the intersection of bioinformatics, software engineering, data science, laboratory automation, and AI. The successful candidate will partner closely with scientists, automation engineers,data scientists, and IT teams to develop robust, scalable, and user-centric solutions that improve data capture, automate workflows, and establish FAIR data foundations for AI-driven biologics discovery and development. The position combines hands-on technical delivery with scientificpartnershipand will play a key role in enabling foundationbuilds, workflow automation, data products, and emerging AI capabilities across the Biologics Engineering ecosystem. Apply scientific informaticsexpertiseto address complex challenges across bioinformaticsanddata scienceinlaboratoryenvironments. Translatebiologics drug discoveryworkflowsinto automated processes,scalable digital products,and user-centred solutions that improve research efficiency and data quality. Integrate research systemsby connecting laboratory instruments, automation platforms, FAIR data repositories, and scientific applicationssuch asGenedataBiologics. Develop scientific softwareincluding applications, APIs, services, and user interfaces using Establish data foundationsthrough reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practicesto rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns. Collaborate across disciplineswith scientists, automation engineers, product owners, AI specialists, and IT teams to deliver robust and impactful solutions. PhD, MSc, or equivalent industry experience in Bioinformatics, Data Science, Computer Science, Software Engineering, Computational Biology, Engineering, ora relateddiscipline. Experience developing software solutions using Python and modern engineering practices. Experience designing data pipelines and integrating heterogeneous scientific data sources. Strong understanding of laboratory research environments and data generation workflows. Experience working directly with scientists and technical stakeholders to deliver real-world solutions. Demonstrated ability to translate ambiguous scientific needs into practical digital products. Experience with laboratory automation platforms and instrument integrations. Knowledge of cloud-based data platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product teams. Within the first 12-24 months, the successful candidate will: Deliver foundationdata products that support AI-enabledbiologicsdiscovery. Establish automated data flows across key laboratory workflows. Reduce manual scientific data handling through automation and integration. Increase availability of FAIR, reusable research data. Deliver production-quality software used by scientists across multiple BE functions. Contribute to scalable platforms supporting Digital, Automated, and AI-Driven Biologics Engineering. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding world. Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en 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

Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering a new frontier at the intersection of neuroscience and computation. We are developing next-generation technologies to transform how intelligent systems are built. We believe that the future of artificial intelligence demands a fundamental rethinking of today's paradigms. Our mission is bold and urgent: to build a future where naturalistic, robust intelligence can emerge and operate sustainably at scale. FL119 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL119, we are uniquely cross-functional and collaborative. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. FL119 is seeking a (Senior) Scientist, Computational Neuroscience to join our team. Leveling is flexible based on experience. This role will focus on building scalable computational pipelines for biophysical modeling and applying machine learning techniques to large-scale neural datasets. The role is based in Cambridge, Massachusetts, with a preference for on-site engagement. International candidates are welcome to apply. • Own the development of end-to-end computational pipelines for biophysical modeling of neurons and neural populations., • Implement machine learning and statistical inference methods to construct and analyze bio-realistic networks from neural recordings., • Actively shape the technical roadmap by proposing, prototyping, and evaluating modeling and inference approaches in close collaboration with the broader team., • MSc or PhD in Computational Neuroscience, Physics, Applied Mathematics, Computer Science, AI/ML, or a related field., • 2+ years of full-time industry or postdoctoral experience (5+ years for MSc)., • Strong experience with computational modeling of neural systems., • Hands-on experience applying machine learning or statistical methods to complex time-series data., • Proficiency in Python and scientific computing libraries (e.g., NumPy, SciPy, Pandas), and familiarity with ML frameworks such as PyTorch or TensorFlow., • Comfort working in high-ambiguity R&D environments and building novel methods from first principles., • Passion for working at the intersection of AI and experimental biology. Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. #J-18808-Ljbffr

Are you the scientific leader who can bridge cutting-edge cardiac models with real-world drug discovery decisions? Have you built electrophysiology strategies, led multidisciplinary teams, and remained close enough to the science to stay credible at the bench? Can you translate complex cardiac safety and ion channel data to clear programme direction for clients and stakeholders? If so, we'd love to hear from you. We are seeking an exceptional scientific leader to drive and shape our cardiac electrophysiology and translational ion channel strategy. This is a rare opportunity for an experienced electrophysiologist to combine strategic leadership with scientific innovation, leading multiple drug discovery programmes while maintaining a meaningful presence in the laboratory. You'll be recognised internally and externally as a subject matter expert in cardiac electrophysiology, helping clients solve complex translational challenges through the application of advanced in vitro and ex vivo models, automated electrophysiology platforms, and stem cell-derived cardiac systems. You will provide scientific and strategic leadership across our translational cardiac electrophysiology capability. Working closely with clients, senior leaders, and multidisciplinary project teams, you will lead programmes from target validation through translational assessment, ensuring delivery of high-quality data that informs critical drug discovery decisions. You'll play a key role in expanding our cardiac electrophysiology offering, driving innovation, mentoring scientists, and helping shape the future direction of the department. Scientific Leadership Lead and execute the scientific strategy for cardiac electrophysiology and translational ion channel research. Act as the scientific lead across multiple integrated drug discovery programmes. Interpret and integrate in vitro, ex vivo and translational data to guide project progression. Drive innovation in cardiac safety and translational biology approaches. Maintain awareness of emerging scientific advances and implement new technologies where appropriate. Provide leadership and oversight for electrophysiology platforms including Qube and MEA systems. Laboratory & Technical Expertise Support and guide experimental design, execution and data interpretation. Lead studies using hIPSC-derived cardiomyocytes and translational cardiac models. Provide scientific direction across ion channel pharmacology programmes. Ensure high-quality data generation aligned to client and programme objectives. Contribute specialist expertise in cardiac safety assessment and translational electrophysiology. Project & Client Leadership Lead multidisciplinary project teams across varying scientific disciplines. Act as the primary scientific contact for clients. Present project updates, data packages, and strategic recommendations. Create and manage project plans, timelines, budgets, and resources. Identify and resolve scientific and operational challenges to ensure successful delivery. People Leadership Mentor, develop, and inspire scientists across the department. Promote a culture of scientific excellence, innovation, and collaboration. Support recruitment activities and participate in interview panels. Act as a role model for scientific leadership and professional development. PhD in Biological Sciences, Pharmacology, Physiology, Cardiovascular Science, Biochemistry or related discipline. Significant industrial drug discovery experience. • Cardiac electrophysiology, • Cardiac safety pharmacology., • Translational cardiovascular biology., • Ion channel pharmacology. Proven experience leading multidisciplinary scientific teams and programmes. Strong client-facing and stakeholder management capabilities. • Automated patch clamp platforms (Qube/Sophion preferred), • MEA technologies, • hIPSC-derived cardiomyocytes, • Translational cardiac models Experience translating complex scientific data into strategic programme recommendations. Desirable Experience within a CRO environment. Manual patch clamp expertise. Experience across a broad range of ion channel targets. Significant publication record. Experience leading scientific strategy across multiple sites or business units. A generous and comprehensive corporate benefits package and bonus.... Shape the future direction of a growing cardiac electrophysiology capability. Influence key drug discovery decisions across diverse client programmes Combine scientific leadership with hands-on laboratory involvement. Work at the forefront of translational cardiovascular science. Collaborate with industry-leading experts across discovery biology and pharmacology. Play a visible role in business growth, innovation and scientific excellence. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. #J-18808-Ljbffr

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models. At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development. • Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies., • Design screening cascade and mechanistic experiments to support project progression in a data-driven manner., • Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions., • Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads., • Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field., • Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads., • Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction., • Author DMPK sections of regulatory documents., • Embrace and champion a culture of inclusion and continuous professional development., • PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject., • 7-10+ years’ professional experience in a DMPK role, operating within a biotech or pharma setting, solving small molecule DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates., • Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology., • Experience of partnering closely with Preclinical and Clinical teams., • In depth knowledge of biotransformation., • In depth knowledge of PK modelling and scaling of ADME properties., • Experience with peptides and other new modalities., • Advanced knowledge of PK/PD modelling., • Good understanding of machine learning techniques., • Familiarity with Python and R. We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, andwould require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. #J-18808-Ljbffr

ScionxBio is engineering the next generation of RNA medicines, combining synthetic chemistry and artificial intelligence to create xRNA — a platform for long‑acting therapeutics. By expanding RNA beyond nature's four‑letter alphabet, we engineer molecules that sustain protein expression for weeks to months rather than days, with a lower immunogenic burden and the durability that chronic disease demands. At the heart of the platform is our TERA® engine, a closed‑loop system in which deep‑learning design, proprietary combinatorial assembly, high‑throughput screening, and continuous model retraining work together to optimise each molecule for its payload. With an initial focus on cardiometabolic disease, we are working to turn transient treatments into durable therapies. A spin‑out from Eleven Therapeutics, we are an international team operating across Cambridge (UK), Tel Aviv, and Cambridge (MA), with our Cambridge (UK) site serving as our largest research and development hub. The Vice President of Platform is the architect of ScionxBio's core technology engine. Reporting to the CEO and sitting within the company's senior leadership, this individual owns the entire upstream pipeline — from computational design and AI‑driven sequence optimisation through to the formulation and delivery systems that carry our molecules into the body, and onward into the evolution of our next‑generation xRNA modalities. This is a rare opportunity to lead, and continue to build, the platform that defines the company: to set its scientific direction, to shape a multidisciplinary team of exceptional scientists and engineers, and to translate a validated modality into a durable, defensible, and endlessly generative source of medicines. We are looking for a scientific leader who is equally comfortable setting long‑range strategy and engaging deeply with the technical substance of the work. • Computational Biology and AI Innovation Lead the development of our proprietary AI/ML models and computational biology pipelines for sequence design, structural prediction, and codon optimisation, with the goal of maximising translation, stability, and tissue specificity. This work is conducted in close collaboration with our strategic advisor. • Next‑Generation xRNA Evolution Spearhead the continued strategic evolution of our modality, guiding the platform's advance into ever more sophisticated xRNA chemistries and ensuring that it remains firmly at the state of the art. • Formulation and LNP Development Oversee the formulation engineering team in optimising lipid nanoparticles (LNPs) for targeted, safe, and efficient in vivo delivery, again working in collaboration with our strategic advisor. • Platform Scalability Ensure that platform discoveries are robust, reproducible, and engineered from the outset with manufacturing scalability in mind, so that what works at the bench translates reliably towards the clinic. • Strategic Leadership Own the resourcing, planning, and timelines for the platform team, and mentor and grow a multidisciplinary group of data scientists, biologists, and engineers into a high‑performing, collaborative whole. • Intellectual Property Generation Actively identify and protect novel sequence motifs, AI design algorithms, and proprietary LNP formulations, building and defending the intellectual property moat that underpins the company's long‑term value. • Platform Interfacing Serve as the pivotal bridge between Platform and Discovery, working closely with our chemistry and biology colleagues to transition optimised candidates smoothly from the Platform team into the Discovery team. • A PhD in a relevant discipline — for example computational biology, bioinformatics, RNA biology, biochemistry, chemical or biomedical engineering, or a closely related field — together with substantial and progressive experience in RNA, oligonucleotide, or nucleic‑acid therapeutics, gained over a senior industry career., • A demonstrable track record of building and leading platform or technology functions in a biotech or pharmaceutical setting, including direct leadership of multidisciplinary teams spanning computation, biology, and engineering., • Deep, hands‑on familiarity with the application of AI and machine learning to molecular design, together with a genuine understanding of the experimental science the platform serves., • Strong knowledge of delivery technologies, in particular LNP formulation for nucleic acids, and of the considerations that carry a discovery‑stage platform towards manufacturable, scalable processes., • A record of intellectual property generation, and the strategic instinct to recognise and protect what is defensible., • Outstanding leadership, communication, and collaboration skills, with the ability to operate effectively across a geographically distributed, multicultural organisation and to translate between technical and strategic audiences. The opportunity to own and shape the defining technology platform of an ambitious, well‑founded biotech at a pivotal moment in its story; a seat within the senior leadership team, with real influence over the company's scientific direction; and the chance to build something durable alongside a talented, international community at the heart of the Cambridge life sciences ecosystem. #J-18808-Ljbffr

This job is with AstraZeneca, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Title: Senior Scientist (CLD) - Cell Therapy Safety Location: Cambridge, UK Do you have a background in cell therapy safety assessment and want to shape the safety strategy for innovative cellular therapeutics? Are you excited to expand your expertise in the non-clinical safety assessment of next-generation cellular modalities? If yes, AstraZeneca could have the role for you. About the role We are seeking a highly motivated Senior Scientist to join our laboratory-based Cell Therapy Safety Team within Cell Therapy Translational and Safety Sciences. This role is based at our state-of-the-art Discovery Centre in Cambridge, UK, offering a collaborative environment across disciplines to drive innovation in 21st-century pharmaceutical research. At AstraZeneca, we value diverse perspectives and inclusive collaboration. We believe teams are most creative when individuals contribute different ideas and experiences in an environment where those differences are welcomed and respected. This is how we foster continuous innovation, learning, and growth-for our people and for patients. What you'll do You will primarily support our growing cellular medicine portfolio; including autologous, allogeneic and in vivo CAR-T. You will design and execute assays and apply molecular biology and immunology/cell biology approaches to develop methods for assessing pre-clinical safety. Key responsibilities include: Model development: Develop and validate new in vitro models to predict and assess toxicity, immunogenicity, and tumorigenicity for cellular therapeutics; contribute to broader non-clinical toxicology packages for novel modalities. Scientific problem-solving: Identify and solve complex scientific problems; champion scientific and technological innovations that advance strategic capabilities. External engagement: Collaborate with leading academics; publish in high-quality journals; actively contribute to scientific networks and communities. Innovation: Drive innovation to support internal and external presentations and publications to strengthen AstraZeneca's scientific leadership. Cross-functional collaboration: Work closely with scientists across CPSS and partnered functions to translate biological insights into safety strategies for pioneering therapeutics. Essential qualifications and experience PhD or equivalent in immunology, cellular biology, or a related discipline. Strong scientific track record in immunology and/or molecular biology and cell therapy development, with practical experience in molecular biology, flow cytometry, cell therapy discovery, and ideally toxicology assessment; post-doctoral experience preferred. Experience designing and/or executing in vitro and/or in vivo studies to determine safety and/or efficacy of cellular therapeutics. Preferably, experience as a safety scientist in cell therapy development from project conception through to candidate selection. Demonstrated ability to work effectively in multi-disciplinary teams with strong communication skills (presenting, manuscript preparation, influencing, relationship building). Excellent publication record, commensurate with career stage. Ability to operate in compliance with Good Laboratory Science standards, Safety, Health & Environment requirements, and relevant external regulations. Who you are You are a motivated, creative, and innovative scientist with a collaborative, team-oriented mindset. You enjoy solving complex problems with a goal-focused approach and have strong communication and presentation skills. You thrive in an open, positive, and collaborative working environment. Why AstraZeneca At AstraZeneca, curiosity and courage drive our science. We're inspired by the possibility of doing what has not been done before. Empowered to step up, we challenge fear of failure, explore the biology of complex diseases, and make bold decisions-celebrating successes and learning from setbacks along the way. We have the ambition to be a world leader in cell therapy development to meet the unmet curative needs in oncology and autoimmune diseases. What's next Are you imagining yourself in this role? We invite you to apply today. Please submit your application by September 20, 2026. Salary: Negotiable

About Mursla BioMursla 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 opportunityWe 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 responsibilitiesTeam leadershipLead 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 leadershipOwn 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 leadershipProvide 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 developmentWork 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 collaborationLead 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 youEssential experience and capabilitiesPhD 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 experienceExperience 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

The CompanyAilux 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 a 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 RoleWe are seeking an experienced and strategic Head of In Vivo Pharmacology. We are looking for an experienced, highly skilled and enthusiastic leader of In vivo Pharmacology to join our drug discovery Ailux teams based in China and UK/Europe to establish and lead Ailux’s In vivo teams. Reporting to the VP, Head of In Vivo Bioscience, the role will lead translational and quantitative pharmacology strategies across Ailux’s respiratory and immunology pipeline, enabling rapid, data-driven progression from discovery through early clinical development for novel biologic therapeutics. Working at the interface of computational design, translational biology and preclinical development, you will ensure in vivo considerations are embedded early and translated into clear programme recommendations from hit identification through clinical entry. The role offers the opportunity to shape translational strategy and quantitative decision-making across a next-generation respiratory and immunology pipeline spanning biologics, multi-specifics and peptide therapeutics. Key ResponsibilitiesIn Vivo Pharmacology Strategy and LeadershipEstablish and lead Ailux’s In Vivo Pharmacology function, defining scientific strategy, operating model, capabilities and external collaborations.Build, mentor and develop a high-performing team of in vivo pharmacologists and translational scientists across China and UK/Europe.Define portfolio-level in vivo strategies to support target validation, candidate selection, mechanism of action and clinical translation.Provide clear, evidence-based recommendations to guide programme progression, investment decisions and risk management. Scientific Excellence and Translational PharmacologyDefine and implement in vivo pharmacology strategies supporting target identification, validation, lead optimisation and clinical candidate selection.Design, oversee and interpret mechanistic and disease-relevant in vivo studies to establish efficacy, pharmacology and therapeutic rationale.Develop innovative approaches to quantitative pharmacology, integrating PK/PD relationships, biomarkers and translational endpoints.Ensure appropriate selection, validation and execution of animal models internally and through external partnerships.Apply deep scientific judgement to critically evaluate model relevance, limitations and translational predictability.Provide pharmacology expertise to support regulatory submissions and clinical development planning. Cross-Functional Programme LeadershipPartner closely with biology, DMPK, safety, translational medicine, clinical pharmacology and regulatory teams to deliver integrated programme strategies.Lead external collaborations with CROs and scientific partners, ensuring quality, timelines and scientific excellence.Provide in vivo pharmacology input into IND/CTA packages, regulatory briefing documents and interactions.Support progression of programmes from preclinical development into first-in-human studies. AI and Data-Driven Drug DiscoveryCollaborate with computational scientists to generate high-quality experimental datasets that enhance predictive models and improve decision-making.Ensure computational outputs are biologically meaningful, experimentally validated and relevant to translational objectives.Drive integration of AI-enabled approaches into experimental design and pharmacology workflows. Qualifications, Education and ExperiencePhD or equivalent degree in Pharmacology, Immunology, Biology or a related discipline, with significant postdoctoral and pharmaceutical industry experience.Extensive experience in respiratory and/or immunology drug discovery, with a strong understanding of inflammatory disease biology.Proven track record of designing and interpreting in vivo pharmacology studies supporting progression of novel therapeutics, ideally biologics and/or complex modalities.Experience developing medicines from discovery through clinical candidate selection and early clinical development.Demonstrated ability to critically assess disease models, translational biomarkers and mechanisms of action.Experience leading, developing and inspiring scientific teams in a matrixed environment.Strong understanding of clinical landscapes, competitive intelligence and emerging therapeutic approaches in respiratory and immunology.Established external scientific network and experience managing collaborations with academic groups and CRO partners.Interest in AI-driven drug discovery and data-centric approaches to medicine development. Leadership AttributesStrategic scientific thinker able to influence portfolio decisions and shape research direction.Comfortable operating in a fast-paced biotechnology environment with high ownership and accountability.Collaborative leader who builds high-performing multidisciplinary teams.Able to balance scientific ambition with rigorous decision-making and prioritisation.Strong communication skills with the ability to influence senior internal and external stakeholders. Leadership ExperienceDemonstrated ability to influence portfolio strategy and decision-making within highly matrixed, multidisciplinary environmentsComfortable operating in a fast-paced and evolving biotech environment with high levels of scientific ownership and accountabilityDemonstrated ability to build and lead high-impact teams Interest in AI-driven drug discovery and data-centric approaches Location：Greater Cambridge Area，UK

Overview In this role you lead the development and validation of fit-for-purpose soluble biomarker assays (immunoassay and LC-MS) to support neuromuscular and muscle disease programs. You will translate disease biology into robust assay strategies, drive cross-functional collaboration, and ensure high-quality data for clinical decision-making. You’ll oversee assay planning, data interpretation, and compliance, partnering with internal teams and external labs to deliver timely results. This position offers the chance to influence translational science at a global biopharma leader and work at scale in a collaborative, data-driven environment. Pay / Benefitscomprehensive benefits package401(k) with company matchhealth, life and disability benefitspaid time off and holidaysperformance-based incentiveeligibility for equity awards ResponsibilitiesDevelop, validate, and implement immunoassay- and LC-MS based methods to quantify exploratory soluble biomarkers for clinical programs, focusing on neuromuscular and muscle disease programsLead assay development efforts to create robust, fit-for-purpose biomarker methods that support clinical decision-making and translational science objectivesAct as scientific and technical lead for exploratory soluble biomarker assays, covering strategy, data quality, interpretation, documentation, and alignment to study endpointsTranslate disease biology and program needs into clear biomarker assay plans in partnership with project teams and external collaboratorsEvaluate and implement innovative assay technologies to improve sensitivity, specificity, reproducibility, throughput, and biological relevanceAnalyze, interpret, and communicate biomarker data to stakeholders to support timely decisionsCollaborate with internal functions and external vendors to deliver high-quality assays and sample analysis within agreed timelinesMaintain high standards for scientific rigor, documentation, data integrity, compliance, safety, and technical excellence in line with Novartis policies Key requirementsPhD with 2+ years in drug discovery or translational research, or Master’s with 10+ years in pharma/biotechHands-on experience developing, optimizing, validating, and troubleshooting immunoassays (ELISA, MSD, Luminex, Simoa) and LC-MS methods for soluble biomarkersExperience with tissue biopsies, especially muscle tissue, and related assays/workflows (IHC/IF, tissue handling)Strong background in neuromuscular, muscle, or related disease biology and linking assay strategy to biomarker plansProven ability to design rigorous experiments, solve complex problems, and communicate results clearly to diverse audiencesExperience working in cross-functional teams and managing assay development timelines and documentationExcellent oral and written communication skills, with ability to present strategy, data, risks, and recommendationsCommitment to collaborative, inclusive work and alignment with Novartis valuescollaborationcommunicationproblem-solvingimmunoassays (ELISA, MSD, Luminex, Simoa)LC-MS method developmenttissue IHC/IF and tissue handling

Technical Advisor, Gola Sierra Leone - Research and Biodiversity Monitoring Location: Flexible in the UK - with travel in Sierra Leone and Liberia Contract: 2 years Hours: Full-Time, 37.5 hours per week Salary: £40,381.00 - £43,113.00 Per Annum Benefits: Pension Scheme, Life Assurance Scheme, 26 days' Annual Leave (Pro-Rata) The Greater Gola Landscape, covering approximately 350,000 hectares and straddling the Sierra Leone-Liberia border, is one of the largest remaining blocks of Upper Guinea Forest. It supports exceptional biodiversity and provides critical ecosystem services, including climate regulation, water conservation and resilience for local communities. The Gola Programme is implemented through a partnership between the Conservation Society of Sierra Leone (CSSL), the Gola Rainforest Conservation Leadership Group, the Society for the Conservation of Nature of Liberia (SCNL), the Governments of Sierra Leone and Liberia, local communities and the RSPB. The programme aims to conserve this globally important forest ecosystem and its exceptional biodiversity, while contributing to climate change resilience, water conservation and sustainable livelihoods and resilience for communities living in and around the landscape. About the role and what you will be doing The RSPB is seeking an experienced Technical Advisor - Research and Biodiversity Monitoring to provide scientific and technical leadership across biodiversity research, ecological monitoring and conservation projects within the Greater Gola Landscape. Working closely with the Gola Rainforest Conservation (GRC-LG) Research and Monitoring Department, RSPB teams and programme partners, you will ensure that conservation activities are underpinned by robust scientific evidence and best-practice approaches. You will also play a key role in strengthening local technical capacity, supporting REDD+ monitoring, developing research partnerships and translating evidence into practical conservation action. Key responsibilities • Lead and support ecological research and biodiversity monitoring programmes., • Develop and oversee robust field survey and monitoring methodologies., • Quality-assure, analyse and interpret ecological and REDD+ data., • Strengthen the technical capacity of GRC-LG, CSSL, SCNL and other partners through mentoring and training., • Provide technical input to conservation planning, species recovery and protected-area management., • Support research proposals, new project development and external partnerships., • Undertake regular fieldwork in Gola Rainforest National Park and surrounding community lands., • Promote the use of scientific evidence to demonstrate conservation impact and inform decision-making. About you You will have an MSc or PhD in ecology, conservation biology, environmental science or a related discipline, or equivalent professional experience, together with significant experience in ecological research, biodiversity monitoring or applied conservation. You will have: • Experience designing and implementing ecological field surveys and biodiversity monitoring programmes, including selecting survey methodologies and ensuring data quality., • Experience analysing and interpreting ecological or environmental data., • Experience delivering ecological research, biodiversity monitoring or conservation programmes within tropical forest environments., • Experience coordinating field teams and planning, prioritising and delivering multiple projects or workstreams to agreed objectives and timescales., • Experience building effective partnerships and delivering training, mentoring or technical support to colleagues, partners or stakeholders., • Experience working effectively in remote or challenging field environments and adapting plans to address operational challenges., • Experience applying scientific evidence to conservation planning, management or decision-making and supporting the development of local technical capacity., • Experience providing technical or scientific advice to conservation programmes, projects or partner organisations. Experience of working in West Africa or the Upper Guinea Forest, REDD+, GIS/spatial analysis, community-based conservation, research partnerships or fundraising would be an advantage Additional Information This is a Fixed-Term (2 years) role for 37.5 hours per week. Location - Flexible in the UK - with travel in Sierra Leone The RSPB reserves the right to extend or make this role permanent without further advertising dependent on business needs at the end of the contract term. Closing date: 23:59, Thursday 8th October 2026 We are looking to conduct interviews for this position W/C 12th October. Interested? If you would like to apply and find out more about this position, please click the apply button to be directed to our website. We are committed to developing an inclusive and diverse RSPB, in which everyone feels supported, valued, and able to be their full selves. To achieve our vision of creating a world richer in nature, we need more people, and more diverse people, on nature’s side. People of colour and disabled people are currently underrepresented across the environment, climate, sustainability, and conservation sector. If you identify as a person of colour and/or disabled, we are particularly interested in receiving your application. The RSPB is an equal opportunities employer. This role is covered by the Rehabilitation of Offenders Act 1974. In order to apply you will be required to upload a CV and complete an application form where you will have the opportunity to explain how you meet the criteria above. Contact us to discuss any additional support you may need to complete your application. No agencies please

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A Master's degree, or working towards a Master's or PhD degree in Education, Psychology, Childhood Studies, Linguistics, Social Research, or a related field.

Research Assistant (Wang Group) (Fixed Term) at University of Cambridge in Cambridge, ENG, GB.This Full time on site position offers great opportunities for career growth.Join us at the world-leading CRUK Cambridge Institute.We're a unique department of the University of Cambridge, core funded by Ca

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Research Assistant – MSCA Doctoral Network PhD Studentship (Fixed Term). The University of Cambridge seeks a highly motivated Research Assistant supported through a Marie Sklodowska-Curie Actions (MSCA) Doctoral Network PhD Studentship to contribute to HER-CARE (Hereditary & Early onset breast can

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PhD in Oceanography, Earth Science, Applied Mathematics, or a related field, and a strong background in fluid dynamics and oceanography; experience running numerical simulations (LES/DNS) is desirable.

The role focuses on developing bioprinted tissue models that recapitulate human biology in vitro and requires strong biology and tissue culture skills.

We are committed to equality, diversity and inclusion, creating a community where colleagues feel respected and valued.We aim to reflect the diversity of our students and communities, and to strengthen our university through collaboration and diverse perspectives, across all roles at the University.

The role caters to candidates at different career stages, with the Research Associate level for PhDs and the Research Assistant level for those nearing completion, with potential upgrade upon award of the PhD.

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This full-time, on-site post combines stem cell biology, tissue culture and bioengineering.

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University of Hull is recruiting for a Full-time on-site Research Assistant to support the NEOREHAB feasibility trial.The post will be based at Leeds Teaching Hospitals NHS Trust with cross-site collaboration to Hull Health Trials Unit.You will recruit participants, coordinate visits, deliver exerci

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Successful candidates who have not yet received their PhD by September 2027 will be appointed on University Grade 5 as Research Assistants, starting at Grade 5, spine point 38 (£34,610 per annum). Upon award of the PhD, their salary will be upgraded to Grade 7 as Research Associates (Fellowships),

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NEW PUBLIC SECTOR CONTRACT ROLE.SFIA 4 Product Manager | £330pd Inside IR35 | Newcastle Preferred | SC Eligible | ASAP Start.I’m looking for an experienced Product Manager to join a public sector delivery team working across technical engineering and data-focused product sets.This is a great oppo

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Senior / Principal Civil Engineer.As a UK, privately owned consultancy, we offer autonomy, flexibility and trust.Our people are empowered and supported to challenge the status quo, implement their ideas and make a real impact.We're built on expertise, problem-solving, and a commitment to doing thing