Optimization Modeler

Job duties

• Conduct exploratory data analysis (EDA) on clinical and preclinical datasets to inform model structure and assumptions
• Develop and validate nonlinear mixed-effects models in R for pharmacokinetic/pharmacodynamic (PK/PD) simulations
• Apply predictive analytics to forecast drug behavior under clinical conditions and support regulatory decisions
• Use statistical methods such as regression and survival analysis to evaluate exposure-response relationships
• Design and implement optimization models using linear programming, dynamic programming, and stochastic methods to improve clinical resource planning
• Collaborate with cross-functional teams to integrate modeling into broader development strategies
• Generate visualizations and technical reports using R and Tableau
• Manage data preparation pipelines using Python and SQL

Requirements

Master’s degree (or foreign equivalent) in Operations Research, Industrial Engineering, Applied Mathematics, or a closely related field.