Director, Quantitative Clinical Pharmacologist

Director, Quantitative Clinical Pharmacologist

Upper Providence, GSK HQ, Stevenage, Waltham

Posted date:
Jan 6 2026

GSK has an inspiring ambition: by uniting science, technology and talent we aim to positively impact the health of 2.5 billion people over the next ten years. We will get ahead of disease together with our R&D approach of focusing on the science of the immune system, human genetics and advanced technologies such as functional genomics and AI/ML.

We have an exciting opportunity at GSK for a highly innovative Quantitative Clinical Pharmacologist to join our team supporting the infectious disease area. GSK provides a supportive environment for scientists who are aspiring to learn, contribute and make an impact on business decisions through innovation, expertise and influence.

You will be part of a science‑driven group delivering clinical pharmacology and modelling & simulation excellence to research and development programs. You’ll have the opportunity to work on both small molecules and biologics in the Vaccines and Infectious Disease therapeutic area. Responsibilities commence post‑candidate selection with accountability beginning approximately 6 months prior to FTIH through to life cycle management.

• Contribute, as a member of a multi‑disciplinary team, to the design of an efficient clinical development program, robust registration package and support life cycle management of an asset.
• Provide optimal application of Clinical Pharmacokinetic (PK), Pharmacodynamic (PD), and Modeling & Simulation (MS) principles toward efficient drug development, risk management, and registration of compounds.
• Play a central role in predicting human dose range, characterizing exposure‑response relationships and justifying dose recommendations for special populations.
• Develop mathematical models to understand disease progression and drug pharmacodynamics and pharmacokinetics; conduct meta‑analyses to generate knowledge through data re‑use; conduct simulations to assess trial design performance.
• Present strategy and discuss outcomes of model‑based approaches via interactions with governance boards and regulatory agencies.
• Provide a thorough understanding and ability to apply appropriate FDA and ICH guidelines in the design of clinical studies and drug development strategy.
• Promote model‑informed drug discovery and development (MID3) through external collaboration, journal publication and conference presentation.
• Design and interpret clinical pharmacology studies to evaluate potential effects of intrinsic and extrinsic factors on pharmacokinetics and pharmacodynamics.
• Identify opportunities to utilize in silico PBPK approaches to replace in‑vivo clinical studies to explore the impact of DDI and special populations on PK where appropriate.
• Write sections of drug development and registration documents such as clinical trial protocols and reports, clinical investigator brochures and regulatory submission packages.
• Learn and apply emerging modelling and simulation methodologies with a view to enhance clinical program efficiency and investment decision quality; collaborate with external field‑leading teams for methodology application.
• Innovate through working effectively with colleagues in the department and other matrix team members, including statisticians, biologists, physicians and drug metabolism scientists.

• Advanced Degree in Life science such as PhD, Pharm
  
  D or MD to enable a successful career in quantitative clinical pharmacology in pharmaceutical research and development.
• 5+ years experience in clinical pharmacokinetics, modelling & simulation and model‑informed drug development including designing, analysing and reporting clinical studies.
• 2+ years experience of pharmacokinetic and pharmacodynamic principles and commonly applied models through previous projects in pharmaceutical industry roles or equivalent.
• 2+ years experience working with common tools for quantitative clinical pharmacology such as NONMEM, R, WINNONLIN, SIMCYP, SAS and MATLAB through previous hands‑on projects.
• 1+ year experience with regulatory submission documents such as CTAs, INDs, NDAs, MAAs…