Senior Scientist, Quantitative Systems Pharmacology

Senior Scientist, Quantitative Systems Pharmacology

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

We are searching for the best talent for a Senior Scientist, Quantitative Systems Pharmacology, to be located in Spring House, PA. This position requires you to be on site five days a week.

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

The role will 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
• 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 expecting a Ph.D. degree in three months.

Required:

• 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…