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PfizerPosted 1 month ago

Postdoctoral Fellow, Quantitative Systems Pharmacology

$64,600–$107,600 year

HybridCambridge, Massachusetts, United States

Full TimeDoctorate Or Professional DegreeEnterprise

Job Summary

Develop and analyze an end-to-end quantitative systems pharmacology model connecting incretin pharmacology across tissues to measurable clinical biomarkers and patient-relevant outcomes. Identify and integrate relevant data sources for model development, calibration, and validation, including published literature, internal preclinical and clinical study data, clinical biomarker data, and external real-world and multi-omics resources. Apply modeling and simulation approaches to predict clinical outcomes, identify novel indications, and provide novel mechanistic insight into incretin therapies. Communicate modeling results and strategic insights effectively to scientists from both quantitative and non-quantitative disciplines and serve as primary author on scientific publications. Collaborate closely with colleagues across multiple functions within Pfizer including lab scientists, statisticians, and subject-matter experts within evidence generation and integrative biology.

Required Qualifications

  • Ph.D. in Applied Mathematics, Mathematical Biology, Chemical Engineering, Biomedical Engineering, Physics, Pharmaceutical Sciences, Pharmacology, or related discipline with strong numerical components focusing on mathematical modeling and simulation
  • No more than 2 years of post-degree experience
  • Training or previous experience in building QSP or differential-equation-based models of biological or physiological pathways/systems
  • Understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including parameter estimation techniques
  • Knowledge of modeling, simulation software (MATLAB or Julia preferred), and AI agents
  • Willingness to make a minimum 2-year commitment
  • Provide two letters of recommendation prior to interview
  • Successful record of scientific accomplishments evidenced by scientific publications and/or presentations, including at least one first-author publication in a peer-reviewed journal
  • Candidates must be authorized to be employed in the U.S. by any employer
  • U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future

Desired Qualifications

  • Enthusiasm for learning new areas of biology and building on a solid foundation of quantitative and computational skills
  • In-depth understanding of ordinary differential equations (ODEs) and how these can be applied in the development of complex models of biological pathways and systems
  • Self-directed with ability to work independently
  • Ability to perform as a team player and collaborate cross-functionally in multiple disciplines
  • Excellent communication and writing skills

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