Associate Director of Quantitative Systems Pharmacology developing QSP models for clinical study designs. Collaborating with multidisciplinary teams to enhance understanding of physiological systems in oncology.
Responsibilities
Develop and apply QSP models to guide clinical study designs and mechanistic interpretation of study results
Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate a disease, its pathways and progression, as well as drug candidates or treatment modalities
Work in close collaboration with biologists, clinicians, clinical pharmacologists, pharmacometricians, QSP and nonclinical modelers, and other partner line colleagues to inform research and development programs
Serve as QSP modeling & simulation point-of-contact in on project teams to solve challenging problems in drug research and development
Analyze and interpret complex data sets in the context of disease mechanisms and pathways
Provide both scientific and strategic expertise in oncology therapeutic area to facilitate, develop and deliver quantitative support for decision making in clinical development programs
Requirements
PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related disciplines with experience in the application of mathematical and statistical methods
Experience working with the theory, principles, statistical aspects of mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs)
Computational experience with one or more modeling and simulation packages or programming languages (e.g., MATLAB, R, Julia, SimBiology, C/C++)
Experience working with common tools for quantitative clinical pharmacology (such as NONMEM, R, WINNONLIN, Simcyp, SAS)
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