Apply on Employer Site

Pfizer · 12 hours ago

Quantitative Systems Pharmacologist

La Jolla, CA

Full-time

Hybrid

Mid Level

$103K/yr - $172K/yr

Pfizer is a leading pharmaceutical company, and they are seeking a highly motivated Quantitative Systems Pharmacologist to lead the development and application of QSP models. The role involves building and utilizing QSP models to evaluate novel targets and drug candidates, collaborating with multidisciplinary teams, and interpreting complex data sets to inform drug discovery and development.

BiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine

No H1B

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

Qualification

Quantitative Systems PharmacologyMathematical modelingDifferential equationsComputational fluencyOncology experienceIndependent researcherCollaboration skillsCommunication skills

Required

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

Preferred

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 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