Associate Director Clinical Pharmacometrics QSP ...

A leading biopharmaceutical company is seeking an Associate Director, Quantitative Systems Pharmacology (QSP) to support a growing clinical portfolio focused on innovative RNA-based therapeutics. The ideal candidate will have expertise in systems pharmacology, clinical pharmacology, pharmacokinetics (PK), and pharmacodynamics (PD), with strong analytical skills to evaluate and interpret complex data. Key Responsibilities Develop and implement QSP modeling and simulation strategies to inform dose selection, trial design, disease progression, biomarker interactions, and treatment response. Collaborate cross-functionally with clinical pharmacologists, pharmacometricians, research scientists, clinical teams, and other relevant R&D functions. Utilize preclinical and clinical data to build and refine QSP models, providing insights into disease pathways and therapeutic interventions. Independently analyze, interpret, and report modeling outcomes to support internal decision-making. Stay current with advancements in QSP methodologies and serve as a technical leader within the team, mentoring colleagues as needed. Contribute to the scientific community by publishing research in peer-reviewed journals and presenting findings at industry conferences. Explore synergies between QSP and other modeling approaches to optimize drug development strategies. Qualifications Ph.D. (or equivalent) in applied mathematics, biomedical engineering, systems biology/pharmacology, or a related field. At least 5 years of industry, regulatory, or consulting experience applying QSP modeling to drug development. Strong understanding of systems biology, physiology, pharmacokinetics, and pharmacodynamics principles. Proficiency in modeling and simulation techniques, including differential equation-based modeling and parameter estimation. Hands-on experience with QSP modeling platforms such as R, MATLAB, SimBiology, or similar tools. Proven ability to communicate complex modeling results effectively to interdisciplinary teams.

Created: 2025-03-11