GSK
Associate Director, QSP Modelling
$158K–$263K
USA - Pennsylvania - Upper Providence +1 · Hybrid (Remote & On-site) · Director · Full-time · Posted Sep 18, 2026
- Location
- USA - Pennsylvania - Upper Providence
USA - Massachusetts - Waltham - Experience
- 2 or more years in the Pharma Life Science Biomedical industry developing and applying QSP approaches to drug discovery or development programs.
- Education
- PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related disciplines.
About the job
Develops and applies quantitative systems pharmacology models to understand disease mechanisms and support drug discovery and development decisions.
What you'll do
- Build and apply QSP models to evaluate disease processes, drug candidates, and treatment modalities.
- Collaborate with multidisciplinary project teams and serve as a disease-area QSP lead and modeling point of contact.
- Analyze complex data and assess the scientific rigor and biological suitability of QSP models.
What they ask for
- PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or a related discipline, with experience applying mathematical and statistical methods.
- 2 or more years of experience in the Pharma Life Science Biomedical industry developing and applying QSP approaches to drug discovery or development programs.
- Experience with mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, and ordinary differential equations (ODEs).
- Computational experience with one or more modeling and simulation packages or programming languages.
Nice to have
- Understanding of immunology and mechanistic modeling experience in metabolic, inflammatory, or fibrotic diseases.
- Experience with Large Language Models (LLMs), Agentic AI, scientific machine learning (SciML), or integrating omics or other multi-modal data with mechanistic models.
Pay
$157,575 to $262,625 USD annual base salary
Tools
MATLAB, SimBiology, Julia, Python, C/C++
AI focus
Explore opportunities to combine QSP with AI/ML; preferred experience includes Large Language Models (LLMs), Agentic AI, and scientific machine learning (SciML).
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