Biotechnology Jobs

• Stevenage
• Hybrid
• £119,250 – £198,750 pa
• Director

Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late pre-candidate selection through life cycle management. Conducts population PK, exposure-response and simulation-based trial design work across small molecules, biologics and antibody drug conjugates, applying AI/ML and quantitative systems pharmacology methods. Presents and defends modelling outcomes to governance boards and regulators, and contributes to protocols, analysis plans and submissions.

NONMEM · R

• Waltham, United States
• Hybrid
• £188,100 – £313,500 pa
• Director

Leads model-informed drug development for oncology programs, defining and executing model-based strategies from late discovery through lifecycle management. Conducts population PK, exposure-response, simulation-based trial design and dose selection, applying AI/ML, quantitative systems pharmacology and model-based meta-analysis. Presents to governance boards and regulators and works across matrix teams on small molecules, biologics and antibody drug conjugates.

NONMEM · R

• Leeds
• Director · manages people

Owns product strategy, roadmap and innovation for clinical pharmacology clinics and bioanalytical labs, spanning early-phase platforms like ClinSpark, LIMS/LIS, ELN, instrument connectivity and lab automation. Builds business cases and secures funding, governs a regulated portfolio, and leads multidisciplinary product teams and vendors across distributed sites.

ClinSpark · LIMS · LIS +7

• Oxford
• Hybrid
• Senior
• Permanent

Develops AI and machine learning systems for synthetic biology, genome design and molecular evolution, with a focus on genome-scale metabolic modelling. Works in a Technology Hub ML engineering team alongside wet-lab scientists, bioinformatics and scientific compute groups, building reproducible training pipelines and MLOps for biological design and discovery.

• Oxford
• On-site
• £40,000 pa
• Senior
• Permanent

Develops and optimises LC-MS workflows for low-input and single-cell proteomics and/or metabolomics, supporting researchers across the institute with experiment design, method development, data acquisition and interpretation. Works closely with bioinformatics, scientific computing and AI/ML teams, and helps build SOPs and training material for single-cell MS capability.

LC-MS · Flow Cytometry · Sequencing +5

• London
• Hybrid
• £83,930 – £155,870 pa
• Director

Supports the development, launch and continuous improvement of AI-powered products, working alongside Line Function Product Owners and cross-functional teams to translate product vision and strategy. Manages the product lifecycle from MVP through scaling, tracking budget and value metrics, and collaborating with DDIT and external parties on delivery and handover to maintenance.

Pandas · R

• London
• On-site
• Senior
• Permanent

Owns R&D extraction workflow development, adapting and optimising metagenomic DNA/RNA extraction methods across diverse, low-biomass and inhibitor-rich sample types, including HMW extractions for long-read sequencing. Designs controlled experiments, transfers validated methods to production and a global partner network, and works in a data-first lab environment feeding a large gene atlas.

DoE

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, owning cloud infrastructure and the software lifecycle for training and inference systems. Work across GCP, Kubernetes, Docker and Terraform with scientists and ML researchers, reporting to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7

• Cambridge
• Director

Leads business process mapping, design and optimisation across CMC Regulatory Affairs, from development and registration through post-approval lifecycle management. Partners with IT, data owners and cross-functional teams to translate regulatory needs into digital, automation and AI use cases, then drives implementation, adoption and KPI measurement. Distinct for combining regulatory operations expertise with AI-enabled capability building in a global matrixed pharma environment.

Veeva Vault · Planisware · Signavio +2

• Cambridge, United States
• Hybrid · 3 days in office
• Director

Lead end-to-end clinical trial material planning, vendor management, packaging, labeling, inventory and global distribution for an AI-first drug discovery company. Act as the clinical supply authority within a lean Pharmaceutical Sciences & CMC team, building scalable systems and vendor networks while partnering closely with Clinical Operations and CROs.

IRT · RTSM

• London
• Hybrid
• £63,917 – £118,703 pa
• Director

Acts as a QA liaison between clinical trial teams and third parties, providing expert support through due diligence, qualification, governance and ongoing monitoring. Focuses on technology-enabled vendors such as digital health tools, medical devices and AI, covering risk assessment, audit support, inspection readiness and escalation of quality issues.

DHT · SaMD · SaaS +1

• London
• On-site
• Director

Shape global CMC regulatory strategy for an innovative mRNA medicines portfolio, driving international submissions and health authority interactions. Prepare and review CMC sections of regulatory filings, advise Manufacturing and Quality teams, and oversee multiple development programs. An individual contributor role with global reach, working alongside teams using digital and Generative AI tools.

Generative AI

• London
• Hybrid
• Director
• Permanent

Lead clinical pharmacology and pharmacometrics across a growing drug discovery portfolio, serving as the quantitative lead on cross-functional project teams. Apply MIDD, PBPK, population PK/PD and QSP modelling to translate nonclinical data into human dosing and trial design, spanning small molecules, biologics and novel platforms. Also manages CRO partnerships and authors regulatory submissions.

NONMEM · R · Monolix +3

• 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

• Oxford
• On-site
• Director · manages people

Lead the DMPK team at Vertex's Oxford site, shaping strategy and operations while sitting on both the Global DMPK and Oxford Site leadership teams. The role directs ADME science across discovery and development programmes, partners with Medicinal Chemistry, Biology, Preclinical Safety and Clinical Pharmacology, and oversees regulatory documentation such as INDs and marketing applications. It combines deep small-molecule DMPK expertise with hiring, mentoring and resource planning.