Senior Scientist, Quantitative Systems Pharmacology

Senior Scientist, Quantitative Systems Pharmacology Location Spring House, Pennsylvania, United States of America Job Function Discovery & Pre-Clinical/Clinical Development Job Sub Function Pharmacokinetics & Pharmacometrics Job Category Scientific/Technology Purpose 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. You Will Be Responsible For Scientific Leadership & Modeling Excellence 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 Translational Impact & Development Strategy 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 Emerging Modalities & Platform Innovation 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 Collaboration & Cross‑Functional Leadership 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 Scientific Contribution & Innovation 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 Requirements/Qualifications Education 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 Required 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 Preferred 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 understanding of the basic principles of pharmacokinetics and pharmacodynamics for conventional large and small molecule therapeutics as well as novel therapeutic modalities Familiarity with AI/ML‑enabled modeling workflows or large‑scale data integration approaches Experience with general programming and data analysis tools/languages such as R particularly desirable Strong publication records highly desirable Strong collaboration and communication skills in multidisciplinary environments Ability to independently lead projects while influencing broader team strategy Scientific curiosity and commitment to continuous innovation and learning Equal Opportunity Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource. #J-18808-Ljbffr Johnson & Johnson Innovative Medicine