Location: Cambridge, MA
Cap-Exempt H-1B Position — No lottery required
ROLE SUMMARY The Pharmacometrics & Systems Pharmacology (PSP) group is seeking a highly motivated quantitative scientist to support the Internal Medicine portfolio through the application of model-informed drug development (MIDD). This role will use pharmacometrics, systems pharmacology, and/or quantitative biology approaches to inform decision-making across drug discovery and clinical development. The successful candidate will contribute to the development and application of quantitative models to support and accelerate the discovery and development of novel therapeutics. This individual will work in multidisciplinary teams to design studies, interpret data, and guide strategy using mechanistic and/or data-driven modeling approaches. Candidates from diverse quantitative backgrounds, including pharmacometrics, systems pharmacology, applied mathematics, engineering, statistics, or related disciplines will be considered. KEY RESPONSIBILITIES: Quantitative Modeling & Simulation: - Develop and apply pharmacometric and/or mechanistic QSP models to support translational and clinical drug development - Perform quantitative analyses including (as appropriate): - Population PK/PD modeling - Exposure-response modeling (semi-mechanistic to empirical) - Disease progression modeling - Model-based meta-analysis - Systems pharmacology / mechanistic modeling - Integrate diverse data sources (preclinical, clinical, literature, biomarkers) for model development and validation - Integrate artificial intelligence into data workflows and analytics Model-Informed Drug Development (MIDD) - Contribute to the development and execution of MIDD strategies across programs - Inform key decisions including: - Dose and regimen selection - Study design and optimization - Go/no-go decisions - Identify opportunities where modeling can enhance understanding of efficacy, safety, and disease biology Cross-Functional Collaboration - Partner closely with clinical pharmacology, statistics, clinical, trans