Associate Director, Quantitative Systems Pharmacology

The Department of Clinical Pharmacology and Quantitative Medicine (CPQM) in Respiratory, Immunology and Inflammation Research Unit, R&D GSK is recruiting for an Associate Director level Quantitative Systems Pharmacologist Lead to join the Quantitative Systems Pharmacology 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.

The convergence of science and technology is changing discovery and development at GSK, allowing us to make advances on behalf of patients that were once thought impossible. Our R&D organization is delivering more innovation, better and faster, using new data and platform technologies that speed discovery and development and improve the chance of success.

This position represents an opportunity for professionals with PhD, MD, PharmD or equivalent doctoral background, who are experienced mechanistic modelers with experience in QSP and/or QST modelling, clinical pharmacology and pharmacometrics to advance the vision and mission of GSK's rapidly expanding Respiratory, Inflammation and Immunology Disease portfolio. Sought after experiences for this position include building mechanistic mathematical models and leveraging the knowledge in the areas of scientific ML, inverse problems, AI/ML and/or statistical methodologies, to enhance the robustness and quality of model development to leverage for decision making from exploratory research through clinical development.

You will be expected to play a critical role in the day to day driving integration of end to end model informed drug discovery and development through building and applying QSP and QST models. In addition, you will be facilitating defining, implementing and coordinating QSP and QST related Clinical Pharmacology and Quantitative Medicine development strategies for disease and therapeutics of interest, and providing expert input into the clinical pharmacology evidence generation and integrated evidence plans in the Disease therapeutic area.

• Establish by building or guiding mathematical model development to understand disease, its progression, and drug action to prevent, treat and cure diseases; conduct simulations to assess trial design performance
• Utilize mechanistic models of biological, physiological, and pathophysiological processes to evaluate a disease, its pathways and progression, as well as drug candidates or treatment modalities
• Develop and/or utilize state of the art mathematical tools including knowledge of inverse modeling and simulation, 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
• Facilitate defining and executing a coordinated scientific and technical strategy ( months planning horizon) with demonstrated ability to co ordinate outputs from several expertise areas to determine strategy
• Work in close collaboration with biologists, clinicians, clinical pharmacologists, pharmacometricians, statisticians, AI/ML, imaging, biomarker and other partner line colleagues to inform research and development programs and improve our understanding of disease mechanisms
• Implement best practices, trends, lessons learned from internal and external sources to further clinical pharmacology modelling and simulation contributions to R&D pipeline
• Able to interact with line and middle management, staff and external contacts on a functional, strategic and tactical level
• Promote transparency and communicate R&D achievements through publications in appropriate scientific journals

• PhD, MD, or PharmD with experience in mechanistic modelling and simulation and systems biology with applications in pharmaceutical research and development
• Strong drive and agility to quickly learn and build knowledge on a drug disease system, the mechanism, endpoints, progression, prevention, treatments, and trial design
• Experience in mechanistic mathematical modeling, inverse problem modeling and simulation, and/or scientific machine learning methodologies to apply to pre clinical and/or clinical questions in drug development to solve practical problems in pharmaceutical industry
• Demonstrated aptitude for productive collaboration in a multi discipline team, using effective communication and taking personal accountability for timely delivery of results
• Clear evidence of ability to make sound judgement in complex situations and adapt to changing business needs by prioritizing multiple tasks
• Prior experience in Respiratory, Hepatology and/or Infections diseases is a plus

Closing Date for Applications 09 Dec 2025 (COB)

Please take a copy of the job description, as this will not be available post closure of the advert.

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.