Pfizer is seeking to lead the development and application of Quantitative Systems Pharmacology (QSP) models for the in silico evaluation of novel targets and compounds, including preclinical and clinical study design and mechanistic interpretation of results, to enhance decision-making from exploratory research through clinical development.
Requirements
- Experience in developing QSP and/or differential equation-based models of biological or physiological systems
- 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
- 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++)
Responsibilities
- Build and utilize QSP models of biological, physiological, and/or pathophysiological processes to evaluate novel targets, pathways, drug candidates to predict and interpret clinical response informing decision making
- 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 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 and computational tools to gain insight into causal relationships between individual components of targets, pathways, and system-level responses
- Analyze and interpret complex data sets in the context of disease mechanisms and pathways; develop a deep disease understanding and knowledgebase
Other
- Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods and 0+ years of experience
- Experience, or strong interest, in applying QSP approaches to drug discovery and development programs in the pharmaceutical industry
- Experience or interest in Oncology therapeutic area
- 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
- Self-directed, independent, and highly motivated researcher who excels in a collaborative, multi-disciplinary team environment
- Excellent oral and written communication skills
- Primary authorship on relevant publications in peer-reviewed scientific journals
