Postdoctoral Researcher, Quantitative Systems Pharmacology - Fixed Term Contract

GSK; Stevenage; On-site; GBP 66,000 - 111,000; Full time

Job summary

A leading pharmaceutical company in Stevenage is seeking a Postdoctoral Researcher in Quantitative Systems Pharmacology. This role involves building mechanistic models for drug development and requires a PhD, MD, or PharmD. Candidates will work with a collaborative team to improve disease understanding and treatment. The position offers a competitive salary, annual bonus, and benefits, with a hybrid working model.

Benefits

Competitive salary

Annual bonus based on performance

Healthcare and wellbeing programmes

Pension plan membership

Shares and savings programme

Qualifications

• Experience in mechanistic modelling and simulation.
• Ability to learn about drug-disease systems.
• Prior experience in pharmaceutical research is a plus.

Responsibilities

• Build mechanistic mathematical models to evaluate disease processes.
• Develop mathematical tools for drug response insights.
• Collaborate with clinicians and researchers.

Skills

Mechanistic modelling and simulation

Systems biology

Strong communication skills

Multi-discipline teamwork

Education

PhD, MD or PharmD

Job description

430594 Postdoctoral Researcher, Quantitative Systems Pharmacology - 2 year Fixed Term Contract (FTC)

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, PharmD 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. 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 utilise 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 programs and improve our understanding of disease mechanisms
• Promote transparency and communicate R&D achievements through publications in appropriate scientific journals

Basic Qualifications & Skills

• PhD, MD, or PharmD 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 – 7th of December, 2025 (COB). Please take a copy of the Job Description, as this will not be available post closure of the advert.

The US annual base salary for new hires in this position ranges from $87,450 to $145,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, 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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us on [e-mail] or 0808 234 4391.