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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 Position: Director of Digital Marketing (B2B) – EvinovaLocation: Field based in the UKCompetitive Salary & Excellent Company Benefits Application Closing Date: 15th September 2026\n Evinovais a health-tech business that accelerates better health outcomes by propelling the life-sciences sector forward in digital health, from the inside. Through science-basedexpertise, evidence-led rigor, and human-experience-driven insight, our digital solutions are designed so that everyone can reach better health outcomes together. \n Evinovarepresentsa unique opportunity to deliver meaningful outcomes with digital and AI, create new standards for the sector, and reset expectations of what a biopharmaceutical company can be. Join us on our journey of building a new kind of health-tech business, opening new ways to work, pioneering cutting-edgemethods, and bringing unexpected teams together. About the role\n We are seeking a strategic, commercially minded, and results-driven Director of Digital Marketing to lead and scale our global B2B digital marketing function. This role will set the digital strategy, translate business priorities into integrated programmes, and drive measurable growth across demand generation, customer engagement, pipeline, and revenue. \n The Director will own digital marketing performance and the enabling data and technology ecosystem, partner closely with Sales, Revenue Operations, Product Marketing, Communications, and IT, and champion the responsible adoption of AI-enabled capabilities to improve customer experience, marketing effectiveness, and operational efficiency. Key Responsibilities\n \n • Define and execute the global B2B digital marketing vision, strategy, operating model, and roadmap in support of commercial priorities\n, • Lead integrated digital demand generation and customer engagement programmes across paid, owned, and earned channels\n, • Own digital marketing performance, budget allocation, forecasting, and optimisation against pipeline, revenue, and customer engagement goals\n, • Own and optimise the global martech ecosystem, including Salesforce CRM and Salesforce Marketing Cloud, to enable scalable execution and insight\n, • Build strong cross-functional alignment with Sales, Revenue Operations, Product Marketing, Communications, and IT to ensure cohesive customer journeys and seamless lead-to-revenue processes\n, • Establish and govern campaign planning, measurement, multi-touch attribution, reporting, and test-and-learn standards across markets and programmes\n, • Set the strategy for SEO, AEO, GEO, PPC, LinkedIn Campaign Manager, Google Ads, website performance, and conversion rate optimisation\n, • Champion the responsible adoption of AI across marketing, including predictive analytics, automation, personalisation, content optimisation, and workflow integration\n, • Use customer, campaign, and market data to identify growth opportunities, improve segmentation, and guide investment decisions\n, • Lead agency and technology partner relationships, including selection, governance, performance management, and commercial oversight\n, • Lead, mentor, and develop a high-performing digital marketing team while building strong digital capabilities across the wider marketing organisation\n, • Ensure digital marketing activities comply with applicable data privacy, consent, accessibility, and brand governance requirements\n Required Qualifications\n \n, • Extensive progressive experience in B2B digital marketing, demand generation, or marketing operations, including significant leadership responsibility\n, • Proven experience developing and executing global digital marketing strategies that deliver measurable pipeline, revenue, and customer engagement outcomes\n, • Strong commercial acumen, including experience managing budgets, prioritising investment, and communicating performance to senior stakeholders\n, • Deep expertise in Salesforce CRM, Salesforce Marketing Cloud, and enterprise martech ecosystems\n, • Proven track record of establishing marketing measurement, ROI, attribution, and executive reporting frameworks\n, • Broad expertise across SEO, AEO, GEO, PPC, paid social, marketing automation, website optimisation, and conversion strategy\n, • Demonstrated success partnering with Sales, Revenue Operations, Product Marketing, Communications, and IT to accelerate growth\n, • Strong leadership presence, people management capability, and experience influencing across a complex matrix organisation\n, • Proven ability to lead change and responsible AI transformation within marketing, including automation, predictive modelling, segmentation, and personalisation\n, • Strong understanding of evolving digital discovery behaviours, generative search, AI search engines, data privacy, and consent management\n, • Excellent communication, stakeholder management, vendor management, and decision-making skills\n Preferred Qualifications\n \n, • Experience in health tech, life sciences, SaaS, or another regulated enterprise environment\n, • Experience leading through organisational growth, transformation, or the build-out of a global digital marketing capability\n, • Experience with APIs, integrations, data platforms, and advanced automation tools\n, • Knowledge of data privacy regulations, including GDPR and CCPA, and their application to B2B digital marketing\n, • Experience managing agencies, strategic partners, and enterprise technology vendors\n Date Posted\n 08-Sept-2026 Closing Date\n 15-Sept-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. If you have a need for any adjustments/accommodations, please complete the section in the application form. \n #J-18808-Ljbffr

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

\n Location: This role can be based in Cambridge, UK, or Munich, Germany. \n We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. \n Own the transformation of translational and biomarker data into AI-ready, standardized data products that accelerate drug discovery and development. \n The role sits at the critical intersection of science teams (who generate and use the data), technology teams (who build platforms and automation), and peer data leadership across clinical trial submission and preclinical/discovery domains. Primary mandate: deliver high-quality, reusable data products while building capabilities to enable a AI ready and FAIR end to end data flow. \n Lead a 12–15 person distributed team and coordinate cross-functionally with peer Directors to ensure enterprise-wide data coherence and strategy alignment. Key responsibilities\n \n • Own delivery of analysis-ready datasets to science teams, enabling precision medicine, biomarker discovery, and hypothesis validation\n, • Work with science stakeholders to understand analytics needs and shape data standards accordingly\n, • Create data catalogs, metadata standards, and usage guidelines; establish feedback mechanisms for continuous improvement\n Standards & Data Product Strategy\n \n, • Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases\n, • Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data products\n Platform & Technology\n \n, • Define technical requirements for translational data workflows (ingestion, validation, harmonization, delivery APIs)\n, • Lead automation initiatives to reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains\n, • Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms)\n, • Pilot new technologies (agentic AI, ML-driven quality assurance) at scale\n Team Leadership & Cross-Domain Coordination\n \n, • Recruit, mentor, and scale a 12–15 person distributed team of data stewards and engineers responsible for data curation, validation, and delivery\n, • Partner with other team leads on shared deliveries, leveraging synergies and cont. increasing efficiency\n Strategic Leadership\n \n, • Define multi-year roadmap for expanding translational/biomarker data standardization across therapeutic areas and partners\n, • Drive shift from reactive data cleanup to proactive "Shift Left" data generation\n, • Present at industry forums; own P&L for translational data operations\n Required experience & qualifications\n \n, • PhD or master degree in bioinformatics, biomedical data science, molecular medicine, or related field\n, • Published research or thought leadership on biomarker standardization, data harmonization, and data product build and delivery with 5+ years experience\n, • Experience with leading a cross functional, global team including budget oversight, hiring, onboarding\n, • Experience with FAIR data principles, semantic interoperability, or data standards in research contexts (GA4GH, MIAME, etc.)\n, • Track record scaling data governance or data stewardship programs across multiple labs, studies, or organizations\n, • Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows\n, • Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC, GTEx)\n \n Ready to lead the transformation of healthcare through AI? Join us in building the platform that will power the next generation of life-changing medicines and make a meaningful impact on patients' lives worldwide. \n 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 unique and ambitious world. \n At AstraZeneca, we are driven by a shared purpose to make a difference in patients' lives through innovation and collaboration. Our dynamic environment encourages continuous learning and growth as we explore new technologies and challenge conventional approaches. By partnering across functions and leveraging our data capabilities, we empower our teams to achieve remarkable outcomes. Join us as we shape the future of healthcare and contribute to AstraZeneca's mission of delivering life-changing medicines. \n #EAI \n Date Posted \n 26-ago-2026 \n Closing Date \n 15-sept-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. If you have a need for any adjustments/accommodations, please complete the section in the application form. \n #J-18808-Ljbffr

\n Senior Director, Data and Information Marketplace\n We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real! Introduction to role\n The Senior Director, Data and Information Marketplace provides strategic leadership for the capabilities, products and governance needed to help humans and intelligent agents discover, share, understand and use data and information quickly, easily and compliantly. This role shapes an integrated Data & Information Marketplace that improves the consumption experience across the enterprise, increases confidence in data and information assets, and ensures they are accessible, transparent, governed and valuable throughout their lifecycle. It ensures that data and information can be used with trust and efficiency, supports responsible and scalable reuse, and drives adoption of product-based capabilities and tooling that enhance enterprise productivity, compliance and decision-making. Accountabilities\n \n • Lead the vision for a unified Data & Information Marketplace that transforms how data and information are discovered, accessed and reused across the organisation.\n, • Define a clear strategy and roadmap that aligns marketplace outcomes with enterprise data, AI and business priorities, setting measurable goals and operating models that drive impact.\n, • Oversee product ownership for marketplace capabilities and tooling, ensuring intuitive experiences for both people and agents across discovery, access, sharing, understanding and use.\n, • Advise the development of capabilities for data access, lineage, observability and quality so that data assets are transparent, trusted and usable at scale.\n, • Shape enterprise approaches to data, information and knowledge lifecycle management, embedding governance for retention, stewardship, reuse, archival and disposal to maximise value while maintaining compliance.\n, • Champion new ways of managing unstructured information to improve discoverability, control and responsible use beyond traditional structured domains.\n, • Embed robust governance and control frameworks across marketplace services, aligned with legal, privacy, security and risk standards.\n, • Drive financial transparency and optimisation for marketplace platforms and services through FinOps practices that improve cost visibility, value realisation and sustainable scaling.\n, • Influence senior leaders across business, data, digital, security and compliance functions to secure adoption, prioritisation and continuous improvement of marketplace capabilities and ways of working.\n, • Ready to shape how data powers digital healthcare?\n Essential Skills/Experience\n \n, • 10+ years enterprise level leadership experience in data governance, data management, information management or enterprise data platforms, with accountability for global strategy and delivery.\n, • Experience in user experience design and evidence of translating this into easy, coherent, seamless experiences that are widely adopted by users and machines across multiple enterprise business units.\n, • Deep expertise in relevant capability areas, including data quality, observability, lineage, access management, lifecycle management and information governance.\n, • Measurable evidence of optimising the data P&L across covering cost/FinOps, value realisation and sustainability.\n, • Proven experience in product management and product ownership for enterprise data or information capabilities, including tooling, user experience and adoption at scale.\n, • Innovates, experiments and brings external perspectives, with a track record of applying frontier technologies and approaches to increase speed, quality and compliance of data.\n, • Strong collaboration skills and evidence of success in an enterprise-scale federated ownership and delivery model, recognising when to build on the work and skills of others, and when to do themselves.\n, • Demonstrated ability to lead through complexity and influence senior partners across functions, driving enterprise alignment, decisions and enterprise change in a global environment.\n, • Strong communication, strategic planning and execution skills, with a track record of defining measurable outcomes, prioritising investments and delivering business value through data and information capabilities.\n Desirable Skills/Experience\n \n, • Experience leading large-scale data marketplaces or catalogues in highly regulated industries.\n, • Background in applying AI/ML to metadata management, knowledge graphs or intelligent search.\n, • Track record of building data products that directly enable scientific or clinical decision-making.\n, • Familiarity with cloud-native architectures, modern data platforms and automation for data operations.\n, • Evidence of building high-performing global teams that blend engineering, product and governance skills.\n \n When we put unexpected teams in the same room, we unleash ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challengeperceptions. 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 and ambitious world! \n AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform how medicines are discovered, developed and delivered with strong backing, investment and a culture that encourages ownership, curiosity and continuous learning! \n #EAI \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. If you have a need for any adjustments/accommodations, please complete the section in the application form. \n #J-18808-Ljbffr

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

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

\n Senior Director, AI-Ready Data Preparation\n We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. Introduction to role\n This role leads the enterprise capability that prepares, processes, and provisions AI-ready data at scale, using approved standards, tooling, and guidelines. The team builds and operates next generation data preparation, integration, orchestration, transfer, and obfuscation capabilities, driving increasing automation and self service for data consumers. The Senior Director also delivers and owns priority enterprise data products, demonstrating how to apply enterprise patterns end to end to accelerate time to insight for AI/ML and analytics through compliant, reliable, and efficient pipelines. Ready to develop how AI-ready data is composed and consumed across a global organisation? Accountabilities\n Lead the strategy and execution for AI-ready data preparation across high priority AI use cases, shifting from custom solutions to reusable, self-serviceable data products with growing automation. Build, own, and operate high value enterprise data products for AI/ML and analytics, applying enterprise schemas, lineage models, SLAs/SLOs, data contracts, and quality rules that drive trust and adoption. Implement DataOps practices and AI-driven automation that streamline ingestion, transformation, testing, and deployment, while enabling self-serve discovery, access, and provisioning on approved enterprise platforms. Design and run robust end-to-end data pipelines (ingest/store → prepare → provision) with scalable orchestration, metadata-driven processing, performance tuning, and cost optimisation on sanctioned cloud platforms. Apply enterprise security controls and approved obfuscation patterns such as masking, tokenisation, and anonymisation to enable safe AI experimentation and compliant data transfer at scale. Build and maintain exemplar implementations and reusable components that showcase approved ways of working for data storage, preparation, provisioning, integration, orchestration, transfer, and obfuscation. Lead and grow high performing engineering teams across onshore and offshore locations, manage suppliers effectively, and ensure on time, high quality delivery using enterprise tooling and delivery frameworks. Evaluate and pilot emerging capabilities within enterprise guardrails, make clear buy versus configure recommendations, and generate evidence of value and adoption to scale successful patterns. How will you push the boundaries of what AI-ready data can do here? Essential Skills/Experience\n \n • Extensive data engineering leadership with a track record delivering production grade data products and platforms supporting AI/ML and analytics.\n, • Data product and DataOps expertise: Hands on proficiency with data product contracts, lineage, quality SLAs, CI/CD for data, automated testing, and metadata driven pipelines that enable self service.\n, • Integration, orchestration, and storage: Deep experience with batch/streaming integration, workflow orchestration, and scalable storage/processing on modern cloud data platforms, including performance and cost optimisation.\n, • Security and obfuscation: Practical application of enterprise security controls, secure data transfer, and approved obfuscation techniques in regulated environments.\n, • Architecture and design patterns: Strong command of applying enterprise data/application design patterns and microservices/event driven approaches using sanctioned tools and reference implementations.\n, • Able to move at pace and lead and inspire technical team, whilst working within a rapid evolving, often ambiguous business context.\n, • Innovates, experiments and brings external perspectives, with a track record of applying innovative technologies and approaches to increase speed, quality and compliance if data.\n, • Partner and vendor management: Ability to influence senior collaborators, manage partner ecosystems, and build high performing teams; clear communication of value, outcomes, and adoption metrics.\n Desirable Skills/Experience\n Experience leading large-scale AI/ML or analytics transformation programmes in sophisticated global organisations. Background in building or operating shared enterprise data platforms or internal data marketplaces. Familiarity with regulated industries such as life sciences, healthcare, or financial services. Proven track record to translate strategic business priorities into actionable roadmaps for AI-ready data capabilities. Track record of nurturing engineering excellence through coaching, standards, and communities of practice. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.\n 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 unique and ambitious world!\n AstraZeneca offers an environment where innovation in digital, data and AI directly connects to transforming patient outcomes worldwide. Curiosity is encouraged, diverse perspectives are welcomed, and teams collaborate across subject areas to solve sophisticated scientific and technical challenges with real urgency. With strong investment in technology, learning and development, alongside a culture that values experimentation and smart risk-taking, this is a place to shape the future of healthcare while building a long-term career with impact. \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. If you have a need for any adjustments/accommodations, please complete the section in the application form. \n #J-18808-Ljbffr

Veterinary Surgeon – Preclinical Research \n \n An exciting opportunity has arisen for a Veterinary Surgeon to join a well-established preclinical research organisation. Working alongside an experienced Named Veterinary Surgeon (NVS), you will play a key role in supporting animal welfare, veterinary care, and regulatory compliance across a range of research programmes. \n \n This position offers a structured development pathway, including training and support towards becoming a Named Veterinary Surgeon (NVS), making it an excellent opportunity for a veterinarian looking to build a long-term career within the research environment. \n \n Key Responsibilities \n\n • Provide veterinary care and clinical oversight for animals\n, • Support animal welfare, health monitoring, and preventative medicine programmes\n, • Work closely with scientific and animal care teams to ensure high standards of welfare and compliance\n, • Assist with the review of study protocols and provide veterinary input where required\n, • Contribute to regulatory compliance in line with the Animals (Scientific Procedures) Act (ASPA) and associated guidelines.\n, • Participate in veterinary investigations, case management, and welfare assessments\n, • Support training and development initiatives relating to animal welfare and veterinary best practice\n\n \n Requirements \n\n • MRCVS-qualified Veterinary Surgeon\n, • Previous experience working with dogs is essential\n, • Strong understanding of animal welfare and clinical veterinary practice\n, • A proactive and collaborative approach to working within multidisciplinary teams\n\n \n Desirable Experience \n\n • Experience working within a Contract Research Organisation (CRO) or research environment\n, • Knowledge of laboratory animal science and the regulatory framework governing animal research\n, • Exposure to ASPA-regulated procedures\n, • Interest in progressing towards Named Veterinary Surgeon (NVS) responsibilities\n\n \n What's on Offer \n\n • Competitive salary\n, • Structured training and mentoring towards NVS status\n, • Opportunity to work within a collaborative scientific environment\n, • Professional development and career progression opportunities\n, • Comprehensive benefits package\n\n \n If you are a veterinarian with experience working with dogs and an interest in advancing your career within preclinical research, we would be pleased to hear from you.

\n Join our team as a VP of AI and help virtualize biological experiments to accelerate discovery! About Turbine\n Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers and engineers who care deeply about getting biology right. \n We're seeking an experienced VP of AI to lead Turbine's AI and computational biology efforts as we scale our Virtual Assay platform. In this role, you'll build and mentor a world-class team, guide technical strategy, and ensure our AI capabilities remain at the forefront of the field. \n Your core mission: ensure we can scale reliable, reproducible Virtual Assay capabilities while continuously deepening our understanding of biology and improving our competitive position in the AI-driven biology space. Key Responsibilities\n \n • Build and maintain a healthy, well-staffed AI team equipped to deliver current products and anticipate future needs\n, • Coach and develop your department to operate seamlessly as part of a modern product organization\n, • Ensure all work streams are clearly connected to Virtual Assay development and that we extract learnings from each initiative\n, • Partner with our Lab team to streamline data flow—ensuring up-to-date data requests, efficient handoffs, and that generated data feeds productively into model development\n, • Drive the strategic direction of Virtual Assay development to position us as a differentiated, valuable player in the market\n, • Collaborate with our CTO to guide internal development toward a general virtual cell capable of zero- shot assay prediction\n, • Represent Turbine at international conferences and contribute to our visibility as a leader in AI-driven biology\n You are a Turbiner if these personality traits apply to you\n \n, • You have self‑awareness and strong intention on personal growth\n, • You seek out feedback and learn from mistakes and apply what you learned\n, • You take responsibility and focus on the outcomes over tasks\n, • You focus on shared success and are open to challenging others respectfully to get the best possible outcome\n, • You are in it for the long haul and have passion for our mission\n What We're Looking For\n You bring a combination of technical depth, leadership experience, and professional visibility in the AI community: \n \n • Strong people leadership skills; ability to build trust, develop talent, and create a high-performing culture\n, • Direct experience building or working with AI inference tools at production complexity\n, • Established credibility and network in the AI in drug discovery space\n, • Strategic thinking about where AI creates real value, both in research and in commercial applications\n, • Comfort operating at the intersection of AI, biology, and product; you don't need to be a computational biologist, but you must be curious and capable of learning the domain\n Nice to Have\n \n, • Prior experience scaling AI teams or shipping AI products in regulated industries\n, • Exposure to or understanding of biological assays, phenotyping, or drug discovery\n, • Track record of publishing or speaking at major AI/ML conferences\n \n #J-18808-Ljbffr

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. Isomorphic Labs (IsoLabs) is developing and applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life‑changing medicines. The company’s ambitious mission is to one day solve all disease. IsoLabs has built multiple cutting‑edge AI models that power our unified drug design engine, which can tackle a broad spectrum of disease areas and modalities. This breakthrough technology will transform how we design new drug candidates and bring new potential medicines to patients. Come and be part of an interdisciplinary team driving groundbreaking innovation. You will play a meaningful role in achieving our ambitious goals, while being a part of an inspiring and collaborative culture. Together, let’s build the future of medicine at Isomorphic Labs. Isomorphic Labs was launched in 2021 to advance human health by building on and beyond the Nobel prize‑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 drug candidates will perform in the clinic and develop medicines to treat and cure some of the world’s most devastating diseases. At IsoLabs, we are committed to leveraging state‑of‑the‑art AI to advance precision medicine paradigms and establish new benchmarks for both efficacy and safety by consistently delivering the optimal treatments to the appropriate patients at precisely the right time, which we expect to significantly enhance our overall probability of success. Since our founding, we have grown a world‑class interdisciplinary team led by founder and CEO Sir Demis Hassabis and President Max Jaderberg. We have built strategic drug discovery collaborations with partners including Eli Lilly, Novartis and Johnson & Johnson, with the Novartis collaboration expanding in February 2025 to double its original scope. Our internal drug candidate pipeline consists of multiple programs across oncology and immunology. In March 2025, IsoLabs raised $600 million in its first external funding round, led by Thrive Capital with participation from GV and Alphabet. In May 2026, IsoLabs raised $2.1 billion in a Series B financing round. This investment will power our world‑leading AI drug design engine, scale our business globally and progress our drug candidate pipeline. The round was led by Thrive Capital, and includes participation from existing backers Alphabet and GV alongside new investors MGX, Temasek, CapitalG, and the UK Sovereign AI Fund, significantly expanding our global capital base.Isomorphic Labs is scaling globally, with headquarters in London and offices in Lausanne, Switzerland and a US base in Cambridge, Massachusetts. We continue to progress our internal candidate programs towards the clinic while advancing across a broad range of modalities including small molecules, molecular glues, peptides, and antibodies. We are seeking a highly motivated and experienced Director of Clinical Pharmacology to lead clinical pharmacology strategies for oncology and non‑oncology small molecule programs. Reporting directly to the Head of Early Development, you will serve as a key member of the Clinical Development team. In this highly visible and critical role, you will be the single point of accountability for all clinical pharmacology activities. You will independently launch, execute, and manage clinical pharmacology plans to support global clinical trials conducted in partnership with Clinical Research Organizations (CRO’s). Furthermore, you will have the opportunity to collaborate with preclinical development and leverage pharmacokinetic (PK) data into human dose models for ensuring optimal efficacy and safety in the clinic. You will use the latest technologies, including predictive artificial intelligence (AI) models to innovate and deliver quality clinical packages. Clinical Pharmacology & Bioanalysis: • Strategic Leadership: Design, independently launch, and execute comprehensive clinical pharmacology, bioanalysis, and modeling / simulation strategies for small molecule oncology and non‑onology programs from Phase 1 through late‑stage development., • CRO Management: Oversee and partner with global clinical CROs to ensure the high‑quality, timely, and cost‑effective execution of clinical pharmacology studies and human bioanalysis and PK data analyses within broader oncology and non‑oncology clinical trials., • Study Design & Execution: Lead the clinical pharmacology components of Phase 1 and 2 clinical protocols, including dose‑escalation strategies, dose‑rationale, PK sampling schemes, Food‑Effect, and drug‑drug interaction (DDI) assessments., • Data Analysis: Direct the analysis, interpretation, and reporting of bioanalytical PK data from clinical trials and human AME (mass balance) studies; utilize appropriate modeling approaches (e.g., PopPK, exposure‑response) to inform dose optimization and the recommended phase 2 dose/schedule (RP2D) selection for pivotal studies., • Regulatory Agency Interactions: Author and review human clinical pharmacology and biopharmaceutics sections for regulatory documents, including INDs/CTAs, Investigator Brochures (IBs), clinical study reports (CSRs), and NDA/MAA filings. Represent the company in regulatory authority meetings. < #J-18808-Ljbffr

Ailux, a pioneering AI-native biotechnology company, is seeking a Head of Translational Medicine & Biomarker Discovery (TMBD) to translate biological insights into clinical development strategies. You will lead translational medicine, biomarker discovery and assay development across the portfolio, ensuring robust decision-making from target validation to clinical deployment. You will establish fit-for-purpose biomarker programmes, oversee human biological samples governance, foster external #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. Isomorphic labs are seeking exceptional individuals to join a highly impactful Translational Biology sub-team, within our Translational Sciences team. This role is ideal for an experienced translational biologist with a skill for designing fit-for-purpose screening cascades to provide robust experimental evidence that our ML-designed medicines will have the desired therapeutic product profiles (TPPs). This is an exciting opportunity to work closely with world leading ML and drug discovery experts to develop imaginative new ways to test biological hypotheses, building a deep mechanistic understanding of drug target interactions in disease to drive our projects forward. You will be responsible for establishing and implementing translational strategies, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection and ultimately to clinical phase work. You will serve as a vital link between computational biology and experimental validation, driving progress within a fully externalized model supported by CRO partnerships. You will have experience of working broadly across drug discovery projects and have the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach. • Oversee the comprehensive planning, methodology development, fiscal management, and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments throughout our project portfolios., • Design robust translation strategies explicitly geared toward clinical translation, leveraging datasets and biomarkers to inform patient selection frameworks., • Play a critical role in defining the most appropriate model paradigm (in vivo, ex vivo patient-derived tissue etc) for each project’s translational package, including developing a biomarker strategy to deliver early clinical proof of concept., • Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic., • Provide scientific expertise to the ML and computational biology teams, to support the development of world-leading models of biological systems., • Distill biological data into useful insights and recommendations for project leaders, project team members, and partners., • Be closely integrated within or lead projects to provide strategic input to deliver project success., • Analyze and interpret experimental data to deliver high-quality reports that drive go/no-go decisions and support IND regulatory filings., • Act as a vital bridge between computational prediction and experimental reality, collaborating closely with:, • ML and Data Science Teams: To translate in silico predictions into physical validation protocols and provide clean data loops to train future models, iteratively improving the predictive accuracy of our proprietary drug design platform., • Discovery Biology and Lead Optimization: To seamlessly transition hits generated by our drug design engine into advanced preclinical characterization and guide SAR-driven design cycles with rapid, reliable preclinical efficacy data., • DMPK and Toxicology: To align in vivo efficacy with ADME and exposure data, informing safety windows and dose selection., • Clinical Development and Program Management: To translate preclinical PK/PD hypotheses into first-in-human trial designs, biomarker strategies, and patient inclusion criteria., • Ph.D. in Pharmacology, Immunology, Cancer Biology, Molecular Biology, or a related scientific discipline., • Deep understanding of target, mechanism, and disease interdependencies, preferably in oncology or immunology., • Expert knowledge of innovative translational models, particularly in oncology and/or immune disorders., • Extensive pharma/biotech experience developing Target Product Profiles (TPPs) and converting them into biological screening cascades, to guide impactful drug development., • Proven track record in constructing translational data packages and biomarker strategies to inform clinical trial design., • Experience in designing PK/PD experiments for human dose prediction and collaborating with ADMET, formulation, and clinical specialists to refine strategies., • Ability to phase translational biology activities collaboratively, considering interdependencies to generate relevant data efficiently., • Proven track record managing multi-vendor CRO networks (including contract negotiation, timeline accountability, and data quality oversight) and the ability to lead and influence teams without direct authority, setting technical direction and driving execution across matrixed, externally-dependent programs., • Dynamism and agility, with ability to work across several projects and therapeutic areas., • Exceptional project management skills with the ability to manage multiple complex external studies simultaneously., • Effective communication across a broad interdisciplinary team, working with key stakeholders with different skills and backgrounds., • Experience of leading biology within drug discovery programs, ideally from inception to clinical candidate delivery., • Track record of driving strategic de-risking and SAR strategies, collaborating effectively across disciplines, including medicinal chemistry and DMPK. Good understanding of medicinal chemistry concepts., • General knowledge of machine learning modelling applied to biological systems and drug discovery., • Solid understanding of the competitive landscape in oncology and/or immunology or inflammation. 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

Zealand Pharma A/S seeks a Scientist/Senior Scientist in Yeast Surface Display to drive discovery across antibody, VHH, and binder platforms at our Cambridge, MA site. You will lead end-to-end display campaigns, optimize affinity maturation, and work cross-functionally to validate hits with MS, Biophysics, and Pharmaceutical Development. The role emphasizes hands-on science, collaboration, and growth within a new Molecular Platform Development organization at a premier research hub in the #J-18808-Ljbffr

Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. Join WSP's growing Health & Life Sciences business. WSP partners with NHS organisations, research institutions, universities and life sciences developers to deliver projects that improve patient outcomes and support scientific discovery. With an established client base and a strong pipeline of opportunities, we are seeking a commercially minded leader to strengthen our presence and expand our Health & Life Sciences Cost Management business across London, the South East and Cambridge. You will play a pivotal role in driving business growth across the sector, developing strategic client relationships, winning new work and shaping the future direction of our Cost Management offering. This is an opportunity to build on an established market position, grow a high-performing team and contribute to the long-term success of the business. We're seeking a proven work-winner with Quantity Surveying, Cost Management or Commercial Management experience, together with the market presence, sector knowledge and leadership capability to help drive our next phase of growth in the Healthcare and Life Sciences sector. This is an outstanding opportunity for a commercially minded leader with established client relationships and a strong track‑record of winning and delivering complex healthcare, biotech and life sciences programmes. You will join a business with an established reputation strong client base and ambitious growth plans, playing a key role in shaping strategy, creating opportunities and developing the next generation of talent within the team.. • A proven track record of winning, growing and leading business within the healthcare, life sciences, research or related sectors., • An established network of client and industry relationships, with the ability to identify opportunities and convert them into long-term client partnerships., • Strong market awareness and commercial insight, with the credibility to advise clients and stakeholders at senior and executive level., • Experience leading major commissions and multidisciplinary teams, driving both successful project outcomes and business growth., • A collaborative leadership style with a passion for developing people, building teams and creating opportunities for others., • The ambition and drive to help shape the future of WSP's Health & Life Sciences Cost Management business., • Significant experience in Cost Management, Quantity Surveying or Commercial Management across complex capital projects., • Strong knowledge of NEC, JCT and other standard forms of contract., • MRICS (or equivalent professional qualification). Imagine a better future for you and a better future for us all. Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. #AVY1 We are one of the world's leading engineering and professional services firms. Our passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 11,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. At WSP, we understand that work is just one aspect of your life. It’s important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote a culture of inclusivity. We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you – giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. To enhance work‑life balance, WSP offers the “WSP My Hour,” allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part‑time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. We understand the importance of development and training to you. That’s why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. #WeAreWSP Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria, please let us know if you require any workplace adjustments in support of your application. #J-18808-Ljbffr

Veterinary Surgeon – Preclinical Research An exciting opportunity has arisen for a Veterinary Surgeon to join a well-established preclinical research organisation. Working alongside an experienced Named Veterinary Surgeon (NVS), you will play a key role in supporting animal welfare, veterinary care, and regulatory compliance across a range of research programmes. This position offers a structured development pathway, including training and support towards becoming a Named Veterinary Surgeon (NVS), making it an excellent opportunity for a veterinarian looking to build a long-term career within the research environment. Key Responsibilities • Provide veterinary care and clinical oversight for animals, • Support animal welfare, health monitoring, and preventative medicine programmes, • Work closely with scientific and animal care teams to ensure high standards of welfare and compliance, • Assist with the review of study protocols and provide veterinary input where required, • Contribute to regulatory compliance in line with the Animals (Scientific Procedures) Act (ASPA) and associated guidelines., • Participate in veterinary investigations, case management, and welfare assessments, • Support training and development initiatives relating to animal welfare and veterinary best practice Requirements • MRCVS-qualified Veterinary Surgeon, • Previous experience working with dogs is essential, • Strong understanding of animal welfare and clinical veterinary practice, • A proactive and collaborative approach to working within multidisciplinary teams Desirable Experience • Experience working within a Contract Research Organisation (CRO) or research environment, • Knowledge of laboratory animal science and the regulatory framework governing animal research, • Exposure to ASPA-regulated procedures, • Interest in progressing towards Named Veterinary Surgeon (NVS) responsibilities What's on Offer • Competitive salary, • Structured training and mentoring towards NVS status, • Opportunity to work within a collaborative scientific environment, • Professional development and career progression opportunities, • Comprehensive benefits package If you are a veterinarian with experience working with dogs and an interest in advancing your career within preclinical research, we would be pleased to hear from you.

Electronics Engineer - Programme Manager - Medical Devices - Cambridge Due to a growth in company output, there is a need for a new Programme Manager who has an Electronics Engineering pedigree. Based in Cambridge, you will be leading several projects. Some projects will involve you offering support and mentorship to junior members of staff, while other projects will involve you taking on the Electronics design aspects yourself. We are looking for someone who has been working hands on developing new Medical Devices technologies in their current role, while mentoring other members of staff. Most projects will be on electro-mechanical Medical Devices, so you will need to have worked on these types of technologies. They could be implantable medical devices, wearable tech or another medical technology that abide by EN60601 standards. Alongside past work experience, it is expected that you hold a relevant degree within a suitable subject that led you into a Medical Devices Electronics Engineering role. It would also be advantageous if you hold a master's or PhD, but not essential as the active work experience in industry is more important. The types of technologies you will be developing are lifesaving and life improving medical devices, truly industry disrupting technologies that will save and improve thousands of people's lives. This role will involve working with external and internal entities, involving a lot of communications both virtual and in real life, due to this it would be advantageous if you have worked in a role that involved communicating updates and project changes continuously. I mentioned knowing about EN60601, but it would also be essential to have a strong understanding of ISO 13485. People who have been successful in this role previously tend to have a highly technical hobby, this could be building drones, tinkering with engines, computer programming or another hobby that involves problem solving. If you do have such a hobby, make sure you highlight it on your CV to give you the best chance of gaining an interview. Apart from working on industry changing technologies, you will be offered a proven career development plan, continuous training to keep you at the forefront of the medical devices sector, excellent salary, bonus, enhanced pension, medical insurance, free meals and other excellent benefits you'd expect from a multinational blue-chip organisation. I expect a lot of interest in this role, so apply now or ensure consideration. For more information, please contact Andrew Welsh, Director of Medical Devices, Biotech and Drug Discovery Recruitment at Newton Colmore, on . Alternatively, submit your application and a member of our team will be in touch. Please note that without a CV, we can only provide limited information.

Redgate's Foundry is the innovation incubator driving the next opportunities for Redgate. The role invites hypothesis-driven discovery, rapid prototyping, and direct customer validation to determine which ideas to evolve. As a mid to senior engineer, you will join a small cross-functional team using C#, TypeScript, Python, and ML across desktop, web, API, and data platforms, balancing prototypes with customer interviews in a Cambridge hybrid setting. #J-18808-Ljbffr

Renesas Electronics is seeking a Senior Product Security Engineer to reinforce our product security with continuous vulnerability discovery and prevention. You will drive threat modeling, security regression testing, red team-style activities, and OWASP Top 10 driven discovery, collaborating with engineering teams to identify and remediate real risks. The role emphasizes enabling developers through practical guidance and scalable security practices, while ensuring changes are threat-modeled and #J-18808-Ljbffr

inMusic Brands, Inc. in Cambridge, UK is seeking a senior Lead Product Manager to define and execute product strategy across music creation software and technology. You will align teams around business priorities and shape the product direction. You’ll lead discovery and roadmaps, partner with engineering, design, marketing, sales, and executives, mentor managers, and help extend technologies across the portfolio. #J-18808-Ljbffr

ScionxBio is seeking a visionary Vice President of Platform to lead its upstream RNA platform, reporting to the CEO and guiding AI-driven sequence design, formulation, and scalable delivery systems. You will steer long-range scientific strategy, build a multidisciplinary team, and translate validated modalities into durable medicines. You will shape the platform direction, protect intellectual property, and partner with Discovery to transition optimized candidates into clinical development, #J-18808-Ljbffr

Quotient is seeking a Senior Engineer in our Data Infrastructure team to design and evolve our cloud, data and AI infrastructure underpinning our genomics-first drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure, reliable and scalable engineering solutions. This is a senior individual-contributor role with substantial technical autonomy. You will make cross-system architecture and operational trade-offs, establish reusable engineering patterns, and mentor our Cloud Engineers and Data Engineers through design reviews, delivery and troubleshooting. The role does not require formal line management, but it does require clear technical leadership and accountability for platform outcomes. This hybrid role is based at the Chesterford Research Campus, near Cambridge, and reports to the Head of Data Infrastructure. The successful candidate will normally work from the campus at least three days per week, participate in operational support and incident escalation, and must have permission to work in the UK. Responsibilities: • Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost., • Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production systems easier to build, test, deploy and operate., • Own cross-cutting engineering decisions for observability, identity and access management, networking, resilience, capacity, data movement and lifecycle management., • Partner with Cloud Engineers and Data Engineers to deliver integrated solutions, providing practical mentoring through technical design, code review, incident response and operational improvement., • Work with AI scientists, computational biologists and scientific teams to translate model development, training, evaluation, inference and data requirements into secure, reproducible platform capabilities., • Diagnose and resolve complex failures spanning infrastructure, data pipelines, applications and AI workloads; lead incident reviews and ensure corrective actions improve the wider system., • Establish and reinforce engineering standards for testing, documentation, release management, operational readiness, security and cost visibility across the Data Infrastructure team., • Evaluate new technologies and shape the infrastructure roadmap with the Head of Data Infrastructure, making pragmatic build-versus-buy and sequencing decisions for an early-stage biotech. Qualifications: • Substantial experience designing, building and operating production cloud or data infrastructure, typically gained through seven or more years of relevant work or equivalent demonstrated capability., • Advanced hands-on experience with AWS and ownership of multiple interdependent production systems, including the ability to troubleshoot failures across service boundaries., • Strong experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, identity and access management, and production observability., • Strong software engineering skills in Python and Linux, including automated testing, version control, code review and maintainable automation or platform tooling., • Experience supporting data-intensive life-science systems or workflows, with enough domain understanding to reason about large scientific datasets, reproducibility, provenance and scientific user needs., • Experience enabling AI/ML workloads in cloud environments, such as data preparation, model training, evaluation, inference, orchestration or production deployment., • A track record of leading complex technical initiatives under ambiguity, making explicit trade-offs and remaining accountable for reliable operational outcomes., • Demonstrated ability to mentor engineers and communicate architecture, risk and delivery choices clearly to both technical and scientific stakeholders., • Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats., • AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services., • Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar., • Platform security, privacy or governance controls for sensitive biomedical or clinical data., • Identity platforms and federation technologies such as Entra ID, SSO or role-based access patterns., • Working in an early-stage biotech, research-intensive startup or another fast-changing environment with a small engineering team. Values and Behaviors: • Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence, • Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source, • Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions, • Use a company-first mindset to guide decision-making; prioritize team over individual success, • Take calculated risks and challenge convention in the quest for exceptional outcomes About Quotient: Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs. The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS). Quotient Therapeutics and Flagship Pioneering are 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. Recruitment & Staffing Agencies: Quotient Therapeutics ("Quotient") and Flagship Pioneering ("FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Quotient, FSP or their employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. Privacy Notice for Applicants:When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. #J-18808-Ljbffr

Roku is seeking a Senior Machine Learning Engineer for Search & Recommendations to drive innovative AI-powered products. You will apply ML across search and discovery, build scalable models, and collaborate with global engineering teams. The role emphasizes technical leadership, debugging complex systems, and delivering measurable improvements in user engagement. Strong programming skills and ML fundamentals are essential. #J-18808-Ljbffr

Roku is seeking a Senior Software Engineer to join the Search & Recommendations team, building services at scale for Roku's browse and discovery platform. You will work with product teams to prototype, test, and release features that power The Roku Channel for millions of users worldwide. The role emphasizes scalability, reliability, and AI-assisted coding. Hybrid work is supported, with office days Mon–Thu and flexible Fridays depending on location, across a global team. #J-18808-Ljbffr

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

Isomorphic Labs is seeking a senior DMPK Lead to drive DMPK strategies across drug discovery projects in a hybrid Cambridge setting. You will shape AI-first ADME approaches, integrate multi-omics data, and collaborate with Preclinical and Clinical teams to advance clinical candidates. The role requires a PhD and 7–10+ years of DMPK experience in biotech or pharma, with strong PK/ADME modelling and regulatory writing capabilities. #J-18808-Ljbffr

CuspAI is seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents powering our autonomous materials discovery engine. You will craft the agentic framework, connect agents to ML models and simulation engines, and enable scalable task planning and execution. You will collaborate with chemists and scientists to optimize agent planning, and contribute to end-to-end experimental campaigns that accelerate discovery while learning from data. #J-18808-Ljbffr

Roku, Inc. in Cambridge is seeking a Senior Software Engineer to design and develop platform products used by millions of consumers. The role involves close collaboration with Product/Design teams and emphasizes a strong foundation in large-scale systems and cloud services. The ideal candidate should possess a Master's degree in Computer Science or related fields, with extensive experience in Java and AWS. Roku offers a hybrid work model that supports teamwork in the office and flexible remote work options. #J-18808-Ljbffr

Lila Sciences is building Scientific Superintelligence to accelerate discovery in life sciences. We seek a Data Scientist, Life Sciences to bridge wet-lab science, software engineering, automation, and AI, turning experimental data into actionable insights and scalable analyses. You will collaborate with scientists, automation engineers, and ML engineers to ensure data flows and analyses reflect bench realities, building robust pipelines and reusable modules. #J-18808-Ljbffr

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine. You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations, and driving experimental campaigns to find breakthrough materials faster than ever before. Your work will directly accelerate CuspAI’s path to finding solutions for global sustainability challenges. • Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation, • Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends, • Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time, • Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making, • Create evaluations to measure the effectiveness of agents, • Build agents that perform experimental design — applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns, • Help close the loop between simulation and physical experiments so that outcomes become durable knowledge — feeding back into what agents know and how their models reason — compounding across campaigns., • Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments, • Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence, • Work on customer projects and implement the direct needs required for these projects, • You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building., • Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production, • Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments, • If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry, • You have a proactive builder mentality with a bias toward shipping and iteration, • Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders, • Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly., • Experience applying ML models specifically for materials science, chemistry, or drug discovery applications, • Experience with agentic frameworks and building LLM-powered applications, • Experience with sequential decision-making methods — Bayesian optimization, active learning, bandits, or reinforcement learning — applied to real-world systems, • Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to our other offices for collaboration and project oversight. • A competitive salary: We value and reward impact and growth, • Equity in CuspAI: You have a stake in the success of the company, • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays, • 'Gold Standard' parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together, • Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth, • Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques, • True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis 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), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. #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

Quotient is seeking a Senior Engineer in our Data Infrastructure team to design and evolve our cloud, data and AI infrastructure underpinning our genomics-first drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure, reliable and scalable engineering solutions. This is a senior individual-contributor role with substantial technical autonomy. You will make cross-system architecture and operational trade-offs, establish reusable engineering patterns, and mentor our Cloud Engineers and Data Engineers through design reviews, delivery and troubleshooting. The role does not require formal line management, but it does require clear technical leadership and accountability for platform outcomes. This hybrid role is based at the Chesterford Research Campus, near Cambridge, and reports to the Head of Data Infrastructure. The successful candidate will normally work from the campus at least three days per week, participate in operational support and incident escalation, and must have permission to work in the UK. Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production systems easier to build, test, deploy and operate. Own cross-cutting engineering decisions for observability, identity and access management, networking, resilience, capacity, data movement and lifecycle management. Partner with Cloud Engineers and Data Engineers to deliver integrated solutions, providing practical mentoring through technical design, code review, incident response and operational improvement. Work with AI scientists, computational biologists and scientific teams to translate model development, training, evaluation, inference and data requirements into secure, reproducible platform capabilities. Diagnose and resolve complex failures spanning infrastructure, data pipelines, applications and AI workloads; lead incident reviews and ensure corrective actions improve the wider system. Establish and reinforce engineering standards for testing, documentation, release management, operational readiness, security and cost visibility across the Data Infrastructure team. Evaluate new technologies and shape the infrastructure roadmap with the Head of Data Infrastructure, making pragmatic build-versus-buy and sequencing decisions for an early-stage biotech. • Essential Substantial experience designing, building and operating production cloud or data infrastructure, typically gained through seven or more years of relevant work or equivalent demonstrated capability., • Advanced hands-on experience with AWS and ownership of multiple interdependent production systems, including the ability to troubleshoot failures across service boundaries., • Strong experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, identity and access management, and production observability., • Strong software engineering skills in Python and Linux, including automated testing, version control, code review and maintainable automation or platform tooling., • Experience supporting data-intensive life-science systems or workflows, with enough domain understanding to reason about large scientific datasets, reproducibility, provenance and scientific user needs., • Experience enabling AI/ML workloads in cloud environments, such as data preparation, model training, evaluation, inference, orchestration or production deployment., • A track record of leading complex technical initiatives under ambiguity, making explicit trade-offs and remaining accountable for reliable operational outcomes., • Demonstrated ability to mentor engineers and communicate architecture, risk and delivery choices clearly to both technical and scientific stakeholders., • Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats., • AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services., • Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar., • Platform security, privacy or governance controls for sensitive biomedical or clinical data., • Identity platforms and federation technologies such as Entra ID, SSO or role-based access patterns., • Working in an early-stage biotech, research-intensive startup or another fast-changing environment with a small engineering team., • Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence., • Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source., • Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions., • Use a company-first mindset to guide decision-making; prioritize team over individual success., • Take calculated risks and challenge convention in the quest for exceptional outcomes. Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs. The company was founded by Flagship Pioneering, an innovative enterprise tha #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

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on our investment in digital services. Our team is a multi-disciplinary team responsible for the architecture and implementation of services that make up Roku's browse and discovery platform. This platform is the backbone behind The Roku Channel, offering a wide range of free and premium content and entertainment to millions of users in the US and around the world. We are seeking a Senior Software Engineer with experience in building services at scale. With so many people relying on us for great movies, TV, and news - scaling, reliability, fallbacks, and automation of these scenarios are always at the top of our mind as we continuously add features to the platform. We work very closely with the product team and pride ourselves on quickly iterating on features from prototypes to A/B tests to eventual release to all users. It's still early days for this platform, with plenty of challenging and interesting problems to work on. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. • Build extremely large-scale platform products and services, used both by Roku engineers from across the company, and directly by consumers across millions of devices, • Work with Product/Design teams to iterate and build software, taking a concept from ideation to its production deployment and support, • Lead efforts to evaluate new technologies and continue to push for best practices across the entire development life cycle, including code and design reviews, • Managing project priorities, deadlines, and deliverables, • Participate in Agile development process, including scoping, technical design, coding, testing, deployment, and maintenance, • Strong software development experience - Java preferably - (Python nice to have), • Expertise in building large-scale cloud services, ideally in AWS, • Experience in the appropriate selection of data stores and analysis of trade-offs, • Experience with in-memory caching layers such as Redis, Redis Cluster, Memcached, or others, • Track record of monitoring the quality of deploys and troubleshooting of production systems, • Strong knowledge of the end-to-end architecture of the web, from end-user device to a service in a data center, • Master's degree in CS, CE or equivalent experience #LI-PA1 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. #J-18808-Ljbffr

The Opportunity: Sample Dispatch Service Lead (12-Month Temporary Contract) Location: Cambridge, UK Join Our Team Avantor Services provides a wide range of laboratory support services designed to help customers save time, reduce operational burden, and increase laboratory productivity. Our teams deliver critical on-site services that enable researchers and scientists to focus on innovation and discovery. We are currently seeking an experienced Sample Dispatch Service Lead to join our team in Cambridge on a 12-month fixed-term contract . This is an exciting opportunity to lead the day-to-day operational delivery of Sample Dispatch services within a complex research environment. The successful candidate will be responsible for ensuring service excellence, regulatory compliance, operational continuity, and continuous improvement, while leading a team of skilled technicians and working closely with customers and stakeholders. Key Responsibilities Lead the delivery of Sample Dispatch services across the Cambridge site. Support the transition of Sample Dispatch operations into a new research facility. Directly manage and develop a team, including resource planning, performance management, training, and business continuity. Coordinate and prioritize daily operational activities to ensure efficient service delivery. Act as the primary point of contact and escalation for Sample Dispatch-related queries and issues. Provide operational cover when required and serve as the subject matter expert for Sample Dispatch activities. Maintain and update operational documentation, including work instructions, risk assessments, SOPs, and training records. Produce and manage operational reports, dashboards, and KPI metrics. Prepare and present monthly and quarterly service review materials. Identify opportunities for process improvement and lead continuous improvement initiatives using Lean principles. Support audit readiness and participate in regulatory inspections, health and safety audits, and Gemba walks. Collaborate with internal teams, suppliers, and external partners to resolve issues and drive innovation. Ensure compliant handling and shipment of materials with special requirements, including controlled substances and radioactive materials. Promote a strong culture of health, safety, quality, and compliance. What We're Looking For Essential Requirements Previous people management experience within a Sample Dispatch, logistics, laboratory support, or similar operational environment. Strong leadership skills with experience managing and developing teams. Proven ability to manage multiple priorities and stakeholders effectively. Excellent communication and interpersonal skills. Strong customer service orientation and collaborative approach. Experience with operational reporting, data analysis, and KPI management. High attention to detail and commitment to compliance. Strong problem-solving and decision-making capabilities. Proficiency with IT systems and data management tools. Desirable Experience Up-to-date IATA, ADR, and IMDG certifications or training. Experience working within pharmaceutical, biotechnology, research, or laboratory environments. Knowledge of shipping regulations and hazardous materials handling. Experience leading process improvement and operational excellence initiatives. Project management experience and the ability to manage change effectively. Familiarity with Lean tools and methodologies. What we offer Opportunity to lead a critical operational service within a dynamic scientific environment. Exposure to a wide range of stakeholders and strategic projects. A collaborative and supportive team culture. The chance to make a measurable impact through service excellence and continuous improvement. If you are a proactive leader with a passion for operational excellence, customer service, and team development, we would love to hear from you. Apply today and help us deliver exceptional laboratory support services in Cambridge. #LI-Onsite Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.comand let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation. TPBN1_UKTJ

The Opportunity: The Gas Service Technical Lead provides technical leadership and support for the safe, reliable, and efficient operation of Gas farm and onsite gas storage facilities. The role ensures the integrity, availability, and compliance of gas storage, handling, distribution, and associated control systems while driving operational excellence and continuous improvement. Technical Authority & Subject Matter Expertise Act as primary technical point of escalation and the technical authority for gas farm systems, equipment, and processes. Provide expert guidance on gas storage, transfer, distribution, pressure management, and associated utilities. Lead technical investigations, root cause analysis, and problem resolution for operational issues. Provide day-to-day technical support to gas farm operations and maintenance teams. Troubleshoot process, equipment, and control system issues to minimise operational disruption. Support the development of technical standards and best practices. Represent the gas farm during audits, inspections, and external technical reviews. Process Safety, Compliance & Risk Management Champion process safety, operational discipline, and adherence to relevant legislation, standards, and company procedures. Conduct technical auditing, regulatory compliance oversight Ensure gas farm operations comply with safety, environmental, and regulatory requirements. Support risk assessments, management of change (MOC), and safety reviews. Promote safe working practices and challenge unsafe conditions or behaviours. Asset Reliability & Maintenance Develop and maintain strategies to maximise equipment reliability and availability. Provide technical oversight for maintenance activities, inspection programmes, and equipment performance. Identify reliability risks and implement mitigation plans. Support lifecycle management of critical assets, including vessels, pipework, valves, compressors, pumps, instrumentation, and control systems. Operations Support Assist with operational planning, shutdowns, start-ups, and abnormal operating conditions. Ensure operating procedures and technical documentation remain accurate and effective. Engineering Projects & Continuous Improvement Support changes, modifications, and improvement projects from concept through implementation. Lead or support technical improvement initiatives to enhance safety, efficiency, capacity, and sustainability. Support commissioning, testing, and handover of new or modified equipment. Identify opportunities for optimisation and cost reduction. undefined Collaboration & Knowledge Sharing Act as a technical mentor to operational personnel. Share knowledge and promote technical excellence across the organisation. Collaborate with operations, maintenance, engineering, HSE, and project teams. QUALIFICATIONS (Education/Training, Experience and Certifications) IOSH or NEBOSH Gas Safe Certification/Qualification MediGas Certification/qualification, desirable COMPEX awareness award/certification ATEX awareness award/certification Pressure Systems Safety Regulations (PSSR) awareness A level, O Level, GCSE; associate degree or undergraduate degree in business or science related field is preferred Forklift Certification preferred but not essential Spill containment, ADR, IATA, DOT, IMDG training preferred but not essential GMP/GLP training preferred but not essential Valid Driver's License KNOWLEDGE, SKILLS, ABILITIES & COMPETENCIES (Those necessary to achieve conformity of products and services) Technical Experience & Industry Knowledge Extensive experience working with gas systems, gas storage, and distribution. Experience leading technical investigations and reliability improvement initiatives. Demonstrated experience supporting hazardous operations, gas systems, pressure equipment, and process safety principles. Knowledge of relevant industry standards, regulations, and asset integrity. undefined Leadership, Communication and Collaboration undefined Previous experience mentoring associates is required. Leadership and decision-making. Ability to influence across multidisciplinary teams. Effective communication and stakeholder management. Customer service focus and ability to work collaboratively. undefined Safety, Risk & Compliance undefined Strong safety and risk awareness. Commitment to operational excellence and continuous improvement. undefined Analytical & Technical Skills undefined Problem-solving and analytical capability. Excellent attention to detail. Proficient in data capture, analysis, and reporting, utilising various IT systems. Proficient in Microsoft Office tools including Word, Excel, and PowerPoint. Able to adapt to emerging best practices and industry innovations. undefined Sustainability & Environmental Responsibility undefined Identify opportunities to reduce gas losses and emissions. Support energy efficiency and sustainability initiatives. Promote environmentally responsible operating practices. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.comand let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation. TPBN1_UKTJ

We are seeking a senior product leader to define and execute product strategy across a key area of music creation software and technology. This role is responsible for building clear product direction and aligning teams around business priorities. • Define and communicate a product vision that connects customer needs, product strategy, and inMusic commercial priorities., • Lead product planning across multiple products or product lines, from discovery and roadmap definition through launch and post-launch iteration., • Build strong partnerships with engineering, design, sound/content, marketing, sales, customer support, and business leadership., • Identify opportunities to extend technologies, workflows, content, platforms, or market insights across the broader inMusic portfolio., • Lead, mentor, and develop product managers while building a high-accountability product culture., • Senior product leadership experience in music technology, hardware/software ecosystems, or adjacent technical product areas., • Demonstrated ability to translate strategy into roadmaps and executable product plans., • Strong commercial judgment and comfort making prioritization decisions under ambiguity., • Experience leading cross-functional teams and influencing executive stakeholders., • Customer-first mindset with strong market, competitive, and data analysis capability., • Ability to operate globally and build scalable ways of working across teams and brands., • Work on products and platforms used by creators, producers, performers, DJs, and musicians around the world., • Help shape the future of music creation technology across a global portfolio of brands., • Join a practical, creative environment that values clear thinking, customer impact, and measurable outcomes. inMusic is the parent company for a family of premier brands that includes AIR Music Technology, Akai Professional, Alesis, Alto Professional, Denon DJ, Denon Pro, Marantz Professional, HeadRush, ION Audio, Marq Lighting, M-Audio, MixMeister, Moog, Numark, Rane, and Sonivox. Committed to pushing the boundaries of innovation in the DJ, music production, live sound, musical instrument, pro audio, lighting and consumer electronics industries, each of inMusicʼs brands creates cutting‑edge products that incorporate and build upon the latest in engineering, design, and technology. #J-18808-Ljbffr

AstraZeneca in Cambridge, UK is seeking a Director, Project Toxicologist for the Immune Oncology Safety group. Hybrid role requiring 60% in-office presence. Join a team driving innovative IO safety strategies and regulatory toxicology to accelerate cancer therapies. You will partner with Oncology R&D across discovery and regulatory toxicology, shaping safety assessments, and contributing to IND/CTA filings while mentoring rising toxicologists. #J-18808-Ljbffr

AstraZeneca in Cambridge (UK) or Munich (Germany) seeks a senior data leader to transform translational and biomarker data into AI-ready, standardized data products. You will bridge science, technology, and data leadership to deliver reusable data assets and scalable governance across trials and discovery. You will lead a 12–15 person distributed team, drive multi-year roadmap, and push for proactive data generation with a global, collaborative approach. #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

Everything we do, every day, is in line with an unwavering commitment to the quality and the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is flexible, innovative, and customer oriented. Whether you are involved in development, maintenance, compliance or analysis through research programs, your contribution will directly impact patients. This role is part of Pfizer's Medical Device and Combination Products (MDCP) Quality Operations team. In this role, you will serve as a key quality partner supporting development, sustaining, and complaint activities across the product lifecycle. The Manager, Medical Device Quality Assurance, is responsible for ensuring that medical devices and combination products are developed and maintained in compliance with applicable design control requirements and key regulatory standards, including 21 CFR 820, ISO 13485, and ISO 14971. You will provide strategic and technical quality oversight for both complex programs and for complaint investigations, guide risk-based decision-making, and help ensure compliance with applicable design control and quality system requirements. You will work across functions to resolve issues, strengthen processes, and support product quality, patient safety, and regulatory readiness. • Provide quality oversight for MDCP programs across both development and sustaining lifecycle activities., • Serve as a key quality partner for cross-functional teams, providing risk-based guidance on design controls, risk management, quality systems, vendor management, change control, and complaint-related activities., • Support on-market and sustaining activities, including post-approval changes, supplier and component changes, manufacturing transfers, periodic product reviews, post-market surveillance, and product remediation or obsolescence planning., • Assess the quality, safety, and regulatory impact of product and process changes to help ensure continued compliance and maintenance of design and risk management documentation., • Review and approve device complaint investigations with a focus on technical rigor, documentation quality, and timely closure, • Evaluate investigation content for completeness, scientific rationale, issue linkage, risk alignment, and potential CAPA relevance, • Partner with teams to resolve complex quality issues, provide sound recommendations, and enable practical, compliant decisions in a fast-paced and highly regulated environment., • Monitor changes in global regulations and help translate evolving requirements into effective policies, procedures, and quality system practices., • Identify and drive opportunities to strengthen processes, improve consistency, and advance quality system maturity across the MDCP development and sustaining space., • Promote alignment in the interpretation and application of quality policies and procedures across teams and activities., • Apply technical expertise across later-phase product lifecycle activities, including verification, validation, process validation, stability-related considerations, and sustaining lifecycle management of marketed products. Applicant must have a bachelor's degree with at least 4 years of experience; OR a master's degree with at least 2 years of experience; OR a PhD with 0+ years of experience; OR an associate's degree with 8 years of experience; OR a high school diploma (or equivalent) and 10 years of relevant experience working in Quality Assurance, GMP manufacturing environment, pharmaceutical environment, or medical device space • Experience supporting quality activities in medical devices, combination products, pharmaceuticals, or another highly regulated industry., • Working knowledge of applicable quality and regulatory requirements, such as design controls, risk management, and quality system requirements relevant to medical devices and/or combination products or pharmaceutical products., • Experience supporting product development and/or sustaining lifecycle activities, including change control and ongoing product maintenance., • Ability to work effectively across cross-functional teams and make sound, risk-based decisions in complex or ambiguous situations., • Strong communication, influencing, and collaboration skills., • Strong analytical skills and ability to work effectively with quality documentation, systems, and data., • Experience in both medical device and pharmaceutical quality environments, especiallycombination products., • Strong experience with design controls and risk management across the product lifecycle, from development through launch and post-market sustaining., • Experience supporting on-market product changes, post-approval changes, supplier or component changes, and manufacturing transfers., • Experience with post-market surveillance, complaint evaluation, periodic product review, and remediation activities., • Working knowledge of combination product regulations, including 21 CFR Part 4, and broader medical device regulatory expectations., • Experience partnering with suppliers, vendors, or external manufacturers in a regulated environment., • Experience applying a risk-based approach to complex quality decisions in fast-paced, cross-functional settings., • Familiarity with verification, validation, process validation, usability, software, or other technical development areas relevant to medical device programs. The role may include frequent business travel across Pfizer manufacturing sites, vendors, and suppliers. Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation! We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here! To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers . #J-18808-Ljbffr

Do you want to use your Legal skills to help find treatments for rare disease patients? Healx is an AI-powered biotech company reimagining drug discovery for rare diseases. Over 400 million people worldwide are affected by rare conditions, yet 90% still lack approved treatments. Our mission is to change this - combining data, technology, and deep scientific expertise to develop treatments faster and more efficiently. Diversity and inclusion are central to our mission. We believe that building a diverse team—across backgrounds, experiences, and perspectives - is essential to developing better treatments for patients. We welcome applications from people of all backgrounds and walks of life. If you’re excited about this role but don’t meet every requirement, we encourage you to apply - we value potential and transferable skills as much as direct experience. • Care for Rare – Rare disease patients are at the heart of what we do, • Grow as individuals – We are learners always seeking to enhance our expertise, • Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together, • Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards Healx is looking for an experienced Legal Counsel to join the team to manage day-to-day operational Legal activities as we move to our next phase. This role is a hands‑on, generalist role where you will work closely with teams across the business – including research, clinical, partnerships, technology, finance and operations – to provide practical legal support. Healx has an international outlook, working with partners in countries across the globe to support our drug discovery pipeline. Our team is focused in the UK, Eastern US and Europe. We are looking for someone who is tech-forward and curious, with a pragmatic approach to using technology and AI‑enabled tools to enhance efficiency, insight, and collaboration, while maintaining strong independent judgement and critical thinking. Contract Management and Team Partnerships • Provide day-to-day legal support and partnership to teams across the business, helping identify legal risks and work with teams to manage them appropriately whilst balancing business interests., • Draft, review, negotiate and execute a range of legal agreements (e.g. NDAs, collaboration agreements, MTAs, MSAs, SSAs, work orders, vendor and consultancy contracts)., • Organise and manage filing of all legal contracts, ensuring findability of documents based on the parties to the document, as well as by type of document and date of execution., • Support strategic partnerships, including global academic and industry collaborations., • Develop processes, guidance, policies and templates that support Healx in achieving its objectives., • Work collaboratively with colleagues to embed good legal practices across Healx. Company Secretarial • Manage company secretarial activities, including compliance filings and reporting of key legal documents, leveraging external counsel as required., • Manage legal aspects of fundraising activities, including coordinating communication with external stakeholders and their legal counsel., • Manage relationships with Healx’s outside legal counsel. Governance and compliance • Manage compliance activities (e.g. data protection, IP, and research-related requirements, HR, technology). Tech-forward Legal • Adopt and incorporate GenAI workflows into legal processes to improve effectiveness and efficiency. You have: • taken full ownership of the standard contract suite (NDAs, MTAs, MSAs, work orders) end-to-end, and the business comes to you first for these., • reshaped the contract filing and review process so senior leaders can find a contract by party, type or date within minutes., • embedded multiple GenAI‑assisted workflows into the team's contract review process, with measurable impact on turnaround time., • run standard agreements end-to-end without escalation, and have a clear view of which agreement types still need senior input., • built relationships so that the research, clinical and partnerships teams come to you directly for legal input and trust your judgement on routine matters., • issued statutory filings on time, and board and shareholder records are up to date., • Qualified lawyer (UK or equivalent jurisdiction)., • Approximately 5+ years’ post-qualification experience (or equivalent)., • Experience drafting and reviewing biotech and other commercial agreements., • Ability to work across a range of legal topics, utilising external counsel where appropriate., • Hands‑on and collaborative approach to Legal., • Experience in biotech or life sciences., • Familiarity with data protection (e.g. UK GDPR) and/or IP considerations., • Global legal knowledge., • Experience working as in‑house counsel., • Experience working with outside counsel., • Experience working with CROs or clinical trials., • Interest in and familiarity with AI tools., • Experience working with Google Workspace, Slack, Confluence, DocuSign, Carta and other relevant tech tools. We operate a hybrid working model, with time spent in our Cambridge office alongside flexible remote working. You’ll be part of a collaborative, mission‑driven team and will be supported to grow your skills and experience over time. We offer flexibility, support, and a culture that values both impact and wellbeing. If you need adjustments during the recruitment process, please let us know - we’re happy to support you. • Financial - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary, • Health and Wellbeing - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work‑life balance, wellbeing support via Spill and our Employee Assistance Programme, • Hybrid Working - Flexible and remote working options, home office set‑up allowance, periodic in‑person team days for company‑wide collaboration and celebration, • Family Friendly - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices, • Personal Development and Growth - Personal learning and development budgets, regular personal development conversations and career support, • Community Engagement and Support - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases Follow the link to apply on LinkedIn or directly on our website. For more information about Healx and how we use your data please go to https://healx.ai/privacy/ #J-18808-Ljbffr

Location: Lausanne; Cambridge Employment Type: Full time Location Type: Hybrid Department: Vertical Solutions Neural Concept's Vertical Solutions team turns the most common engineering use cases into streamlined, production-grade workflows powered by leading AI technologies. As Product Manager or Solution Owner, you will own the product lifecycle for one of our vertical solutions end to end: from discovering customer needs to shipping AI-powered workflows that combine design, simulation, and data science/ML. You'll partner with industry-leading customers to translate real-world engineering problems into a product roadmap, and you'll work hands‑on with AI‑assisted development tools to move from concept to working prototype fast. This is a pivotal, cross‑functional role: you'll work across product, engineering, and customer‑facing teams to make sure what you build actually gets adopted and delivers value. • Own the product roadmap for your vertical solution, from discovery through delivery and iteration., • Run customer discovery: lead interviews, validate problem-solution fit, and turn insights into a clear product strategy and backlog., • Define and prioritize requirements, write specs, and make the roadmap tradeoffs that keep the team focused on impact., • Use AI-based development tools and hands‑on prototyping (including scripting) to de‑risk ideas quickly and get working solutions in front of customers sooner., • Lead and collaborate closely with a cross‑functional team of engineers (CAD/CAE/ML) to take solutions from prototype to production‑ready., • Track adoption and value delivery across customer projects in your vertical, and feed those insights back into the global product roadmap., • Align vertical initiatives with overall company strategy., • Proven product management experience: you've owned a product or product area end to end, from discovery to launch to iteration, ideally in an enterprise or technical B2B context., • Hands‑on with AI-based development: comfortable using AI coding/prototyping tools (e.g., Claude Code, Cursor, Copilot, or similar) and scripting (Python) to build and test ideas yourself rather than only writing specs for others., • Strong discovery and customer empathy skills: you can run a great customer interview, synthesize signal from noise, and translate it into a coherent product narrative., • Pragmatic, impact‑first problem solver: comfortable making tradeoffs, willing to challenge assumptions, and focused on outcomes over process., • Comfortable operating cross‑functionally with engineering, data science, and customer‑facing teams, and able to influence without direct authority., • Clear written and verbal communicator, able to align stakeholders across technical and business audiences., • Background or exposure to consumer electronics, automotive, turbomachinery, aerospace, semiconductor manufacturing, • Familiarity with engineering software used in CAD/CAE/PLM workflows (e.g., SolidWorks, NX, ANSYS Mechanical, Abaqus, Teamcenter, or similar)., • Exposure to end‑to‑end engineering design processes: requirements, concept, modeling and simulation, validation, release., • Work with a world‑class technology team – our engineers are top‑notch and we always aim for excellence., • Benefit from a competitive salary and rewarding opportunities as we continue to scale., • Thrive in a collaborative, multicultural environment where your work is visible and recognized., • Develop professionally alongside talented colleagues who share knowledge freely and support one another., • Make a global impact by helping customers shift to AI‑assisted design, making innovation faster, smarter, and more sustainable., • Balance life and work with a hybrid model (40% remote) and flexible hours – we care about results, not rigid schedules. We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive. #J-18808-Ljbffr

Flagship Pioneering is a life sciences innovation enterprise that invents and builds transformative companies. Since its founding in 2000, Flagship has originated more than 100 ventures, including Moderna, and has deployed over $4 billion toward scientific discovery. Our Scientific Cloud team is the connective tissue that powers data and technology infrastructure across Flagship's growing portfolio of companies. Scientific Cloud is Flagship Pioneering's portfolio-facing IT organization, responsible for the cloud engineering, data and informatics engineering, research systems, lab systems, and vendor management capabilities that power Flagship's emerging companies. The team operates with a portfolio-first orientation - building durable, shared infrastructure that individual ventures can rely on at every stage of company formation and growth. The Senior Research Systems Analyst is a key member of the Scientific Cloud team, managing and optimizing the digital platforms that power scientific research and data management across Pioneering Medicines and Flagship Labs companies. This role is primarily responsible for administering and configuring core research platforms such as Benchling, CDD Vault, Quilt, AWS, Code Ocean, Seqera, etc., translating stakeholder requirements into system configurations, troubleshooting issues, and standing up these systems for Flagship's emerging companies. A meaningful part of the role involves staying current on the AI features available within these platforms and providing researchers with practical use cases and recommendations for using them well. The successful candidate brings hands-on platform expertise, structured thinking, and the ability to translate complex capabilities into practical enablement resources for bench scientists and data consumers alike. Administer and optimize core research systems including ELN, LIMS, data management platforms, and other scientific tools including Benchling, CDD Vault, Quilt, AWS, Code Ocean, and Seqera, ensuring reliability, performance, and user satisfaction. Collaborate with stakeholders to gather, document, and translate requirements for R&D applications into actionable system configurations and enhancements. Provide Tier 2/3 technical support and troubleshooting for research, scientific, and data management systems, serving as an escalation point for complex issues. Monitor system performance, coordinate with IT infrastructure teams on uptime and capacity, and manage vendor relationships for supported platforms. Partner directly with Flagship Labs and Pioneering Medicines startups to stand up and configure core research systems, ensuring new companies are up and running quickly on platforms suited to their research needs. I mplement system configurations, data structures, and integrations tailored to each company's stage and scientific priorities. Train startup teams on platform best practices and workflows so they can operate independently from day one. Proactively identify opportunities for future integrations and platform enhancements as portfolio companies grow and their needs evolve. Maintain working knowledge of the AI features available within core research platforms, and stay current as new capabilities are released. Develop practical use cases and recommendations that help researchers and portfolio companies get the most value out of each platform's AI features. Advise on when a platform's native AI features are sufficient versus when a deeper integration may be worth pursuing. Create high-quality user documentation, training materials, and quick-reference guides for research systems. Design and deliver training sessions and onboarding programs that drive system adoption and empower researchers to work effectively with digital tools. Develop and maintain a knowledge base that captures best practices, FAQs, and enablement resources for research systems across Pioneering Medicines and Flagship Labs companies. Stay current with developments in laboratory informatics and cloud-native data management relevant to life sciences research platforms. Proactively identify opportunities to improve system usability, data quality, and researcher productivity, and contribute to roadmap planning discussions. Support process improvement initiatives and contribute to IT project delivery across the Research Systems team. Work closely with laboratory researchers, bioinformatics engineers, data architects, and IT colleagues to deliver integrated solutions that align with scientific priorities. Act as a liaison between research end users and IT, translating scientific needs into system requirements and ensuring technology #J-18808-Ljbffr

Healx is seeking an Agentic AI Engineer to design and build LLM-agentic workflows powering its drug discovery platform. You will work with scientists to define problems, architect agents that reason over data sources, and integrate with a knowledge graph and proprietary methods. The role sits in a hybrid setup based in the UK, with opportunities to influence workflows and grow in a fast-moving field. Reporting to the Director of Tech Strategy, you will contribute from day one, collaborating #J-18808-Ljbffr

Healx Limited is seeking an experienced Legal Counsel to manage day-to-day legal activities as we scale our rare-disease drug discovery efforts. You will work cross-functionally with R&D, partnerships, technology and finance, providing practical, business‑savvy legal advice. The role emphasises a hands-on, collaborative approach, with a focus on biotech agreements, governance, data protection and AI-enabled tools to enhance efficiency and collaboration. #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

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