Principal Scientist – Mathematical Modeling Lead/ Pharmacometric Modeling and Simulation.

The department of clinical pharmacology, modeling and simulation seeks a motivated, and mathematical modeler/ quantitative scientist / applied mathematician or statistician who will drive the development and execution of computational modeling and simulation strategies to enable next‐generation pharmacometric analyses.

We are seeking a subject matter expert with experience in quantitative approaches to inform drug development.

Proficiency in one or more of the following areas is highly desirable: applied mathematics, multivariate statistical methods, AI/ML-based modeling and analytics, data warehousing, automation of complex data workflows, data engineering and emerging computing technologies.

Knowledge of pharmacokinetic/pharmacodynamic (PK/PD) modeling will be useful.

In this role, the Principal Scientist will contribute across a broad range of activities, including, curation and visualization of complex datasets, developing and industrializing novel computational methods for QSP and PK/PD modeling and automation of pharmacometric workflows.

The candidate is also expected to establish, lead and mentor a team of junior scientists to deliver on department objectives.

This role is ideal for a scientific leader with quantitative science/applied mathematics background and interest in PK/PD and exposure–response modeling, who is passionate about integrating quantitative methods, data science, and emerging technologies to influence critical development and regulatory decisions at a global level.