Associate Director, Quantitative Systems Pharmacology

Role Summary

Associate Director, Quantitative Systems Pharmacology leading the Quantitative Systems Pharmacology team within CPQM at GSK. The role focuses on integrating clinical pharmacology, digital medicine, translational imaging, and mechanistic & systems modeling to advance Model-Informed Drug Development (MIDD) across Respiratory, Inflammation and Immunology Disease portfolio. The position emphasizes building mechanistic models, applying QSP/QST, and guiding end-to-end model-informed drug discovery and development to support decision-making from exploratory research through clinical development.

Responsibilities

• 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-problem modelling 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 (18-24 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, AIML, 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

Qualifications

• 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

Skills

• Quantitative pharmacology
• QSP / QST modelling
• Mathematical modelling and simulation
• Inverse problem solving
• Scientific machine learning and AIML
• Cross-functional collaboration and communication

Education

• PhD, MD, or PharmD in a relevant field