Biotechnology Jobs

• USA - Pennsylvania - Upper Providence
• Hybrid · 2 days in office
• US$242,250 – US$403,750 pa
• Director · manages people

Owns the clinical strategy, scientific narrative and benefit-risk framework for genitourinary cancer assets, acting as the senior clinical authority on the Medicine Development Team core quad. Sets asset-level evidence-generation and governance direction while Senior Scientists handle study-level delivery, and represents Clinical Development in health authority and external engagements. Hybrid role with at least two on-site days per week.

AI · Advanced Analytics

• London
• Hybrid
• PLN 318,000 – PLN 530,000 pa
• Director

Supports patient safety worldwide by leading signal detection, safety evaluation and risk management for products in clinical development and post-marketing. Prepares global regulatory reports and risk management plans, supports safety governance meetings, and contributes to risk-reduction strategies across cross-functional matrix teams.

Safety Databases · Data Visualisation Tools

• London
• Hybrid
• Director

Leads the design and delivery of health economics and outcomes research (HEOR) evidence for a portfolio of HIV treatment and prevention medicines, spanning real-world evidence, clinical outcome assessments, evidence synthesis and economic modelling. Sets COA and patient-centred outcomes strategy, partners with R&D, medical affairs, market access and external payers/HTA bodies, and oversees study quality, compliance and budget within a matrix organisation.

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

Embedded with chemical manufacturing and control teams, you take high-priority AI use cases from problem framing to working prototype at days-to-weeks cadence, then hand proven solutions to a solutions engineer for scale-up. The work centres on Physical AI: self-driving labs, lab automation and robotics, digital-to-physical orchestration, and simulating manufacturing lines and tech transfers in NVIDIA Omniverse and Isaac Sim. AI coding agents handle much of the routine coding, leaving you to frame problems, apply judgement and validate results.

NVIDIA Omniverse · Isaac Sim · Nemotron +7

• Stevenage
• Hybrid · 2–3 days in office
• Senior

Embedded with chemical manufacturing teams, you take high-priority AI use cases from problem framing to working prototype at days-to-weeks cadence, then hand proven solutions to a solutions engineer for scale-up. The work centres on Physical AI: self-driving labs, lab automation, robotics and instrument integration, plus simulation of manufacturing lines and tech transfers using NVIDIA Omniverse and Isaac Sim. AI coding agents handle routine development, leaving you to focus on judgement, validation and coaching business-unit engineers.

NVIDIA Omniverse · Isaac Sim · Nemotron +7

• 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

• USA - Pennsylvania - Upper Providence
• Hybrid
• Director

Senior individual-contributor role building a cardiovascular and cardiometabolic translational biology strategy within a respiratory and immunology research unit. Involves defining human-relevant mechanistic hypotheses, biomarker strategies, target evaluation, and business development diligence, with matrix influence across clinical, genetics, and portfolio teams.

• London
• Hybrid
• Lead

Lead programming activities for one or more clinical studies, developing, maintaining and validating complex analysis packages to CDISC and Good Programming Practice standards. Act as technical mentor to junior programmers and lead programming support for regulatory interactions with the EMA and FDA. Works in an agile, squad-based team bridging scientific requirements with technical solutions, with R proficiency preferred.

R

• Stevenage
• Hybrid
• Lead

Leads statistical programming for complex and pivotal clinical studies, developing, maintaining and validating analysis packages while ensuring compliance with Good Programming Practices and CDISC standards. Acts as a technical mentor to junior programmers and leads programming support for regulatory interactions with bodies such as the EMA and FDA, working in an agile, squad-based team alongside clinical, statistical and operational stakeholders.

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

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

Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late candidate selection through life cycle management. Conducts population PK, exposure-response and simulation-based trial design work, applying AI/ML and quantitative systems pharmacology methods, and defends results to governance boards and regulators. Sits within Oncology Translational Medicine's Clinical Pharmacology Modelling and Simulation group, working across small molecules, biologics and antibody drug conjugates.

NONMEM · R

• Belgium-Wavre
• Hybrid
• €119,250 – €198,750 pa
• Director

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

NONMEM · R

• USA - Pennsylvania - Upper Providence
• Hybrid
• US$188,100 – US$313,500 pa
• Director

Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late 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

• Durham Blackwell Street
• Hybrid
• US$188,100 – US$313,500 pa
• Director

Leads model-informed drug development for oncology programmes, defining and executing model-based strategies from late candidate selection through life cycle management. Conducts population PK, exposure-response and simulation-based trial design work, applying AI/ML and quantitative systems pharmacology methods, and defends results to governance boards and regulators. Sits within a matrixed Clinical Pharmacology Modelling and Simulation group working across small molecules, biologics and antibody drug conjugates.

NONMEM · R

• Waltham, United States
• Hybrid
• US$204,000 – US$340,000 pa
• Director

Leads the design and execution of real-world evidence and health outcomes studies for oncology assets, managing timelines, budgets and quality of protocols, analyses and publications. Advises internal medical, market access and commercial teams and external experts on evidence strategy for HTA submissions, reimbursement and value-based pricing. Requires close collaboration across a matrix and deep knowledge of real-world data sources and payer needs.