Director - Quantitative Systems Pharmacology

Role Summary

Director-level Quantitative Systems Pharmacologist Lead to join the Quantitative Systems Pharmacology team in CPQM, within Respiratory, Immunology and Inflammation Research Unit, R&D GSK. Lead the development of mechanistic models and integrate QSP/QST approaches to inform decision-making across exploratory research through clinical development.

Responsibilities

• Build and/or guide mathematical model development to understand disease, its progression, and drug action; conduct simulations to assess trial design performance
• Apply mechanistic models of biological, physiological, and pathophysiological processes to evaluate disease pathways and progression, as well as drug candidates or treatment modalities
• Develop and/or utilize state-of-the-art mathematical tools including inverse-problem modelling, simulation, scientific ML and/or statistical techniques to understand causal relationships within system-level and drug-level responses
• Define and execute a coordinated scientific and technical strategy (18-24 months planning horizon) coordinating outputs from multiple expertise areas
• Collaborate with biologists, clinicians, pharmacometricians, statisticians, AIML, imaging, biomarkers, and other partners to inform R&D programs and improve disease mechanism understanding
• Implement best practices and lessons learned to further clinical pharmacology modelling and simulation contributions to the R&D pipeline
• Create a collaboration framework with internal and external experts for model development and application
• Learn and apply emerging modeling and simulation methodologies; collaborate with external teams for methodology application
• Interact effectively with line management, staff, and external contacts at functional, strategic, and tactical levels
• Represent QSP CPQM on internal advisory boards and leadership teams; promote transparency and publish R&D achievements in scientific journals

Qualifications

• PhD, MD, or PharmD with experience in mechanistic modelling and simulation and systems biology in pharmaceutical R&D
• Substantial experience in mechanistic mathematical modeling, inverse problem modeling and simulation, and/or scientific ML methodologies applied to pre-clinical and/or clinical drug development
• Strong ability to rapidly learn drug-disease systems, mechanisms, endpoints, progression, and trial design
• Demonstrated collaboration in multi-disciplinary teams with effective communication and accountability for timely results
• Ability to make sound judgments in complex situations and prioritize multiple tasks in a changing environment
• Experience working with senior stakeholders in a cross-functional environment
• Track record of implementing Model-Informed Drug Discovery and Development (MIDD) approaches to accelerate patient access and expand indications

Skills

• Mechanistic modelling and simulation
• Inverse problem modeling
• Scientific machine learning and AIML
• QSP/QST modeling and clinical pharmacology
• Cross-functional collaboration and stakeholder engagement
• Strategic planning and program leadership
• Scientific communication and publication

Education

• PhD, MD, or PharmD in a relevant field (required)

Additional Requirements

• Preferred: experience in Respiratory, Hepatology, and/or Infectious diseases