Postdoctoral Researcher, Quantitative Systems Pharmacology

Job description

The Clinical Pharmacology and Quantitative Medicine (CPQM) group in Respiratory, Immunology and Inflammation Research Unit, R&D GSK is recruiting for a Postdoctoral researcher in Quantitative Systems Pharmacology (QSP) to join their CPQM QSP team. The CPQM at GSK is a newly established organization with the remit to become a Centre of Excellence in Model‑Informed Drug Development (MIDD). It uniquely integrates clinical pharmacology, digital medicine, translational imaging, and mechanistic & systems modelling.

This industrial QSP Postdoc position represents a unique opportunity for those with PhD, MD, Pharm

D or equivalent doctoral background, who have previous experience in mechanistic mathematical modelling to gain pharmaceutical industry experience of applying systems modelling and computational methodologies to drug discovery and development to advance the vision and mission of GSK's rapidly expanding Respiratory, Inflammation and Immunology Disease portfolio.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in‑office work.

In this role you will

• Build mechanistic mathematical models of biological, physiological, and pathophysiological processes to evaluate disease, its pathways and progression as well as drug action to prevent, treat and cure diseases; and conduct simulations of virtual patients to inform target and/or asset prioritization and optimal trial design.
• Develop and/or utilize state‑of‑the‑art mathematical tools including knowledge of non‑linear dynamics, scientific ML and/or statistical techniques to gain insight into causal relationships between individual components of system‑level and drug‑level responses of drug‑target‑biomarker‑disease‑patient interaction.
• Identify relevant question(s) of interest by working with disease area experts across different disciplines and address the question(s) by applying mechanistic and systems modelling.
• Communicate and work in close collaboration with clinicians, biologists, clinical pharmacologists, pharmacometricians, statisticians, AIML, imaging, biomarker, genomics scientists and other cross‑matrix colleagues to inform research and development programmes and improve our understanding of disease mechanisms.
• Promote transparency and communicate R&D achievements through publications in appropriate scientific journals.

Why you?

Basic Qualifications & Skills:

• PhD, MD, or Pharm
  
  D with experience in mechanistic modelling and simulation and systems biology.
• Strong drive to quickly learn and build knowledge on a drug‑disease system, the mechanism, endpoints, progression, prevention, treatments, and trial design.
• Strong communication skills and demonstrated ability to work in a multi‑discipline team, using effective communication and taking personal accountability for timely delivery of results.
• Prior experience with applications in pharmaceutical research and development is a plus.
• Prior experience in Respiratory (e.g. COPD, IPF), Renal (e.g. CKD, nephrotoxicity), Hepatology (e.g. MASH) and/or Infections diseases (e.g. HBV) is a plus.

Closing Date for Applications 16th of January, 2026 (COB)

For further information or to request an interview adjustment, please contact UKRe
.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.