Associate Director, Quantitative Systems Pharmacologist

Role Summary

Quantitative Systems Pharmacology (QSP) is a discipline that uses mechanistic mathematical models and disease platforms to enhance the robustness and quality of decision-making from exploratory research through clinical development. We are seeking a highly motivated individual to lead the development and application of QSP models for the in silico evaluation of novel targets and compounds, including preclinical and clinical study design and mechanistic interpretation of results. The successful candidate will be responsible for integrating and sharing data and knowledge in a highly stimulating, collaborative, and multi-disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms for the oncology therapeutic area.

Responsibilities

• Build and utilize QSP models of biological, physiological, and/or pathophysiological processes to evaluate novel targets, pathways, and drug candidates
• Identification of appropriate quantitative approaches for MIDD activities.
• Work in close collaboration with biologists, clinicians, precision medicine scientists, clinical pharmacologists, pharmacometricians, QSP and nonclinical modelers, and other partner line colleagues to inform discovery and development programs and improve our understanding of disease mechanisms
• Serve as QSP modeling & simulation expert in, or leader of, multidisciplinary project teams to solve challenging problems in drug discovery and development; contribute to preclinical and clinical study designs and mechanistic interpretation of data
• Develop and/or utilize state-of-the-art mathematical tools to gain insight into causal relationships between individual components of targets, pathways, and systems-level responses
• Analyze and interpret complex data sets in the context of disease mechanisms and pathways; develop a deep disease understanding and knowledge-base

Qualifications

• Required: Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods with at least 1 year of experience
• Required: Experience in developing QSP and/or differential equation-based models of biological or physiological systems
• Preferred: Experience (~ 2 years+) in applying QSP approaches to drug discovery and development programs in the pharmaceutical industry
• Preferred: Experience in Oncology and Immuno-Oncology therapeutic areas
• Preferred: Growing ability to be a strategic contributor or leader in support of MIDD
• Preferred: Deep understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs), and how these can be applied in the development of complex models of biological pathways and systems
• Preferred: Computational fluency and extensive, hands-on experience with one or more modeling and simulation packages or programming languages (e.g., MATLAB, R, Julia, SimBiology, C/C++)
• Preferred: Creative and innovative scientist who is passionate about developing a deep understanding of disease and disease mechanisms and who has experience working closely with biologists, clinical and nonclinical modelers, and clinical colleagues
• Preferred: Self-directed, independent, and highly motivated researcher who excels in a collaborative, multi-disciplinary team environment
• Preferred: Excellent oral and written communication skills
• Preferred: Primary authorship on relevant publications in peer-reviewed scientific journals

Additional Requirements

• Last date to apply is January 9, 2026
• Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed.