Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Postdoctoral Researcher, Quantitative Systems Pharmacology - Fixed Term Contract

myGwork - LGBTQ+ Business Community
Stevenage
1 day ago
Create job alert
Postdoctoral Researcher, Quantitative Systems Pharmacology – Fix Term Term Contract

Join to apply for the Postdoctoral Researcher, Quantitative Systems Pharmacology – Fix Term Term Contract role at myGwork– LGBTQ+ Business Community. The Clinical Pharmacology and Quantitative Medicine (CPQM) group in Respiratory, Immunology and Inflammation Research Unit, R&D GSK is hiring a Postdoctoral researcher in Quantitative Systems Pharmacology (QSP) to join the 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), integrating clinical pharmacology, digital medicine, translational imaging and mechanistic & systems modelling.

This industrial QSP Postdoc position offers scientists with a PhD, MD, PharmD or equivalent doctoral background and experience in mechanistic mathematical modelling the opportunity to work in the pharmaceutical industry, applying systems modelling and computational methodologies to drug discovery and development across GSK’s Respiratory, Immunology and Inflammation portfolio.


Key Responsibilities

  • Build mechanistic mathematical models of biological, physiological and pathophysiological processes to evaluate disease, its pathways and progression as well as drug action; conduct simulations of virtual patients to inform target or asset prioritization and optimal trial design.
  • Develop and/or utilize state‑of‑the‑art mathematical tools, including non‑linear dynamics, scientific machine learning and/or statistical techniques, to gain insights into causal relationships between individual components of system‑level and drug‑level responses of drug‑target‑biomarker‑disease‑patient interaction.
  • Identify relevant questions with disease‑area experts and address them using mechanistic and systems modelling.
  • Collaborate closely with clinicians, biologists, clinical pharmacologists, pharmacometricians, statisticians, AI/ML, imaging, biomarker, genomics scientists and other cross‑matrix colleagues to inform R&D programs and improve understanding of disease mechanisms.
  • Publish R&D achievements in appropriate scientific journals and promote transparency.

Qualifications & Skills

  • PhD, MD, or PharmD with experience in mechanistic modelling and simulation and systems biology.
  • Strong drive to learn rapidly and build knowledge on a drug‑disease system, mechanism, endpoints, progression, prevention, and trial design.
  • Excellent communication skills and ability to work in multidisciplinary teams with timely delivery of results.
  • Experience applying modelling in pharmaceutical R&D is a plus.
  • Experience in Respiratory (e.g., COPD, IPF), Renal (e.g., CKD, nephrotoxicity), Hepatology (e.g., MASH) or Infectious diseases (e.g., HBV) is a plus.

Compensation and Benefits

The US annual base salary ranges from $87,450 to $145,750, depending on location, experience and market. Additional benefits include an annual bonus, participation in a share‑based long‑term incentive program, health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.


Application Process

Closing Date for Applications: 7th of December, 2025 (COB). Please submit a cover letter and CV describing how you meet the competencies outlined above.


Equal Opportunity Employment

GSK is an Equal Opportunity Employer. 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, military service or any basis prohibited under federal, state or local law.


Contact for Adjustments

If you require adjustments to our recruitment process, contact or call . Helpline hours: 8:30 am‑12:00 pm, Monday‑Friday.



#J-18808-Ljbffr

Related Jobs

View all jobs

Postdoctoral Researcher, Quantitative Systems Pharmacology - Fixed Term Contract

Postdoctoral Researcher, Quantitative Systems Pharmacology - Fixed Term Contract

Postdoc: Quantitative Systems Pharmacology & Modeling

Postdoc: Quantitative Systems Pharmacology for Drug Discovery

PhD/Post-Doctoral Researcher ML Quantitative Researcher

PhD/Post-Doctoral Researcher ML Quantitative Researcher

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.