Biotechnology Jobs

• Stevenage
• Hybrid
• US$232,650 – US$387,750 pa
• Director · manages people

Leads CMC's scientific data, application and agentic AI product portfolio, setting integrated strategy and roadmap across forward-deployed engineering, product management and AI product strategy. Accountable for delivery, GxP compliance, data governance, budget and headcount, and for representing the capability to R&D, supply chain and quality leadership.

Python

• USA - Pennsylvania - Upper Providence
• Hybrid
• US$232,650 – US$387,750 pa
• Director · manages people

Leads CMC's scientific data, application and agentic AI product portfolio, owning strategy, roadmap, governance and GxP compliance across forward-deployed engineering, product management and AI teams. Manages budget, headcount and external partners while representing the capability to R&D, supply chain and quality leadership.

Python

• London
• Remote

Primary point of contact for Advanced Therapy Treatment Centres in the South UK, driving appropriate utilisation of CAR T therapies and coordinating site qualification, setup and patient treatment logistics. Works cross-functionally with Marketing, Medical Affairs and Market Access, and is 80% field based with UK travel.

• London
• Hybrid
• Director

Lead global regulatory strategy for renal therapy programs across all development phases, serving as the regulatory representative on cross-functional teams. Drive major submissions such as INDs, NDAs, BLAs and MAAs, and lead health authority interactions, while mentoring regulatory team members. Distinct for its international scope and focus on renal, nephrology and rare disease assets.

IND · CTA · NDA +2

• Oxford
• On-site
• Senior
• Permanent

Designs and engineers plant specialised metabolism in cell cultures to produce high-value natural products for health and medicine, applying synthetic biology to optimise biosynthetic pathway flux and product tolerance. Works with AI and robotics teams on model-driven engineering and stage-gated milestones, with a focus on IP generation and translating research into commercial solutions.

• Uxbridge
• Director · manages people

Owns the clinical strategy for one or more neuropsychiatry programs, serving as Clinical Trial Physician and clinical point of accountability for the Clinical Development Team. Leads trial design, data interpretation, regulatory submissions and health authority interactions, with matrix leadership across global scientific teams.

• London
• Hybrid
• Director

Lead CMC regulatory strategy for UK-manufactured and UK-licensed mRNA products across development, registration and post-approval lifecycle. Act as primary point of contact with the MHRA, oversee submissions and manufacturing change assessments, and shape global regulatory approaches across cross-functional matrix teams.

MHRA · Generative AI

• London
• Hybrid · 2–3 days in office
• Junior

Contribute across a full-stack cloud product and IoT devices that interface with hardware automating human cell production. Work spans TypeScript, React, GraphQL frontends and Node.js/PostgreSQL backends, with cross-disciplinary collaboration alongside hardware engineers and biologists, including testing on prototype machines in the lab.

React · TypeScript · GraphQL +7

• London
• Director · manages people

Lead global labelling strategy for assigned products across early and late-stage development, lifecycle management and marketed portfolios, serving as Therapeutic Area Lead. Drive core labelling documents including CCDS, USPI and EU PI, lead health authority negotiations, and shape a future USPI operating model while championing digitalisation and AI-enabled labelling solutions.

FDA · EMA · ICH

• Cambridge
• Hybrid · 3 days in office
• Director

Lead digital health strategy engagements with AstraZeneca R&D, top pharma and biotechs, shaping operating models and roadmaps across clinical development. Directs project teams on AI and digital solutions such as ePRO/eCOA, wearables and digital biomarkers, building business cases and tracking value realisation. Combines consulting, protocol design support and scaled implementation in a matrixed environment.

ePRO · eCOA · Wearables +1

• Oxford
• On-site
• Senior

Provides hands-on MS&T engineering expertise across drug substance manufacturing and label, packaging and final-storage operations at the Harwell site. Leads technology transfer, process start-up, validation, continued process verification and troubleshooting, authoring protocols and reports as an individual contributor. Works cross-functionally with Manufacturing, Quality and Supply Chain, with on-call or shift coverage as required.

SAP · VEEVA · DeltaV +4

• London
• On-site
• Junior

Work in the hardware team developing mechanical solutions for lab automation systems, refining existing designs and part sourcing, and assembling, testing and validating complex devices. Collaborate across disciplines in an Imperial College innovation hub lab, incorporating user goals into product design. Requires a mechanical engineering background and CAD experience, ideally Solidworks.

SolidWorks

• Oxford
• Hybrid · 4 days in office
• Permanent

Hands-on mechatronics role spanning mechanical design, electrical integration, software and control, turning scientific requirements and prototypes into reliable laboratory machines. Works with automation scientists and specialist engineers across requirements, build, commissioning and operational use, applying iterative hardware development and systems engineering to productionise prototypes with safety and configuration controls.

• London
• Hybrid
• Senior
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. Split roughly 90/10 between building and evaluating models against wet lab results and self-development, with heavy emphasis on data pipelines, cloud training and production-quality code.

NeurIPS · ICML · ICLR

• London
• Hybrid
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. Split roughly 90% model building and 10% self-development, spanning data curation, evaluation metrics, prototyping, cloud training/inference and wet lab testing campaigns.