Senior Scientist, Quantitative Systems Pharmacology

Senior Scientist, Quantitative Systems Pharmacology Location

Spring House, Pennsylvania, United States of America

Discovery & Pre-Clinical/Clinical Development

Pharmacokinetics & Pharmacometrics

Scientific/Technology

The QSP Senior Scientist will lead and apply mechanism-based PK/PD and Quantitative Systems Pharmacology (QSP) modeling to support translational and clinical drug development across multiple therapeutic areas. The role integrates modeling, simulation, and data-driven insights to guide dose selection, study design, and strategic decision‑making across early and late‑stage programs.

• Lead development and application of QSP, PBPK, and PK/PD models to address critical drug discovery and development questions across stages
• Design and execute population PK/PD and mechanistic modeling strategies to inform clinical pharmacology plans and regulatory submissions
• Conduct exploratory modeling analyses with rapid turnaround to support high‑impact decisions
• Demonstrate strong scientific rigor in model development, validation, interpretation, and communication of results

• Drive model‑informed decision‑making for study design, dose optimization (e.g., RP2D), and indication prioritization
• Contribute to clinical development strategies, including protocol design, modeling components in Phase 2/3 studies, and regulatory responses
• Provide mechanistic insights linking exposure‑response relationships to clinical outcomes and formulation strategies

• Antibody‑drug conjugates (ADCs) and next‑generation conjugate platforms
• Bispecific and multispecific T‑cell engagers and immune‑targeting biologics
• Cell therapies (including ex vivo and in vivo approaches)
• Targeted protein degradation and novel platform therapeutics
• Supporting dose strategy, early asset evaluation, and platform modeling frameworks; developing modeling approaches for next‑generation therapeutic modalities and applying innovative computational approaches, including AI/ML‑enabled workflows, to enhance modeling scalability and insight generation

• Serve as a key modeling representative on cross‑functional teams spanning clinical pharmacology, translational medicine, discovery, and clinical development
• Partner with internal and external stakeholders, including CRO oversight and collaboration
• Provide scientific mentorship and technical guidance to junior scientists

• Contribute to methodological innovation and model‑informed drug development (MIDD) strategies
• Establish scientific credibility through publications, presentations, and external engagement
• Advance internal modeling platforms and best practices to improve reproducibility and efficiency

• Ph.D. degree in Pharmaceutical Sciences, Systems Biology/Pharmacology, Mathematics, Engineering, or other disciplines related to quantitative pharmacology or equivalent, or expect a Ph.D. degree within 3 months

• Experience in using quantitative approaches in describing biological systems and demonstrated ability to apply quantitative tools to enable rational and efficient drug development
• Excellent understanding of theory, principles, and statistical aspects of advanced mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, and ordinary differential equations (ODEs), and how these can be applied in the development of complex models of biological pathways and systems
• Proficient in Matlab/Simbiology
• Self‑motivated team player who excels in a collaborative and multidisciplinary team environment
• Good oral and written communication skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial and collaborative attitude

• Experience in building, validating and using QSP models or deterministic models of biological pathways/systems to support basic science and/or translational clinical research strongly preferred
• Good…