Develop, calibrate, and validate mechanistic QSP models to describe disease biology, drug mechanism of action, and PK/PD relationships. Integrate diverse data sources (in vitro, in vivo, clinical, omics, literature) into QSP modeling frameworks. Perform model-based simulations to support: Target and pathway evaluation Dose and regimen selection Biomarker strategy Translational predictions from preclinical to clinical stages Collaborate closely with cross-functional teams including Biology, Pharmacology, Clinical Pharmacology, Biomarkers, and Translational Medicine. Document model assumptions, structure, qualification, and limitations according to internal and regulatory standards. Prepare technical reports, presentations, and visualizations to communicate model insights to project teams. Contribute to publications, posters, and internal scientific forums. Maintain awareness of emerging QSP methodologies, tools, and best practices. PhD (or equivalent) in Pharmacology, Systems Biology, Bioengineering, Applied Mathematics, Chemical Engineering, or a related quantitative discipline. 2-5 years of experience applying QSP or mechanistic modeling in pharmaceutical or biotech settings (or equivalent postdoctoral + industry experience).
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