Quantitative Systems Pharmacologist

Pfizer•La Jolla, CA

11d

About The Position

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 across different therapeutic areas.

Requirements

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 in developing QSP and/or differential equation-based models of biological or physiological systems

Nice To Haves

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
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++)
Creative and innovative scientist who is passionate about developing a deep understanding of disease and disease mechanisms and who hasexperience 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
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

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

Benefits

a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
paid vacation, holiday and personal days
paid caregiver/parental and medical leave
health benefits to include medical, prescription drug, dental and vision coverage

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