Senior Scientist, Quantitative Systems Pharmacology

Johnson & Johnson Innovative Medicine • Spring House, PA

20h • Onsite

About The Position

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. This position requires you to be on site 5 days a week.

Requirements

• Ph.D. degree in Pharmaceutical Sciences, Systems Biology/Pharmacology, Mathematics, Engineering, or other disciplines related to quantitative pharmacology or equivalent, or expecting a Ph.D. degree in 3 months.
• Experience in using quantitative approach 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 multi-disciplinary 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.

Nice To Haves

• 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 would be 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

Responsibilities

• 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
• Contribute to expanding QSP capabilities across advanced and complex biologics modalities, including 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
• Support dose strategy, early asset evaluation, and platform modeling frameworks
• Develop modeling approaches for next-generation therapeutic modalities and apply 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

Benefits

• inclusive work environment where each person is considered as an individual
• respect the diversity and dignity of our employees and recognize their merit

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree