Postdoctoral Fellow, Quantitative Systems Pharmacology
Core
Develop and analyze end-to-end mechanistic Quantitative Systems Pharmacology (QSP) models to understand therapeutic benefits of incretin therapies and generate testable hypotheses for novel mechanisms and indications.
Role type
Postdoctoral Fellow, Quantitative Systems Pharmacology
Builds
Mechanistic mathematical models connecting pharmacology across tissues to clinical biomarkers and patient outcomes
Domain
Biopharmaceuticals / Quantitative Systems Pharmacology
Deliverable
production ML models | research
Required skills
Mathematical modeling and simulation, Differential equation-based modeling, Parameter estimation, Model calibration and validation, Scientific publication authorship
Preferred skills
Ordinary differential equations (ODE) expertise, MATLAB or Julia proficiency, AI agent knowledge
Technologies
MATLAB, Julia
Responsibilities
Integrate diverse data sources (literature, preclinical, clinical, real-world) for model development; Apply modeling approaches to predict clinical outcomes and identify novel indications; Communicate modeling results to cross-functional teams; Author scientific publications and present findings at meetings
Seniority
Postdoctoral Fellow, early-career researcher
