Pfizer

Postdoctoral Research Fellow- Quantitative Systems Pharmacology

Employer
Pfizer
Location
La Jolla, California
Salary
Competitive
Posted
November 16 2020
Ref
4794485
Position Type
Full Time
Organization Type
Pharma
ROLE SUMMARY

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. The QSP group at Pfizer is seeking a highly motivated postdoctoral candidate to develop and analyze mechanistic mathematical models that incorporate resistance mechanisms across patients and tumors, with the goal of improving predictions of therapeutic response for initial clinical trials. This Postdoctoral Fellowship is an opportunity to work within a dynamic group who are at the forefront of the application of mechanistic systems models to address critical uncertainties in drug discovery and development.

The successful candidate will have earned a Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or other related discipline and has a demonstrated track record in scientific publication. The postdoctoral fellow will develop and analyze mathematical models of cancer resistance that integrate biological knowledge and available data from Pfizer's preclinical and clinical programs, with the goal of providing tools for pre-clinical to clinical translation, dose selection, and clinical trial design. They will work collaboratively with biologists, clinicians, clinical pharmacologists, pharmacometricians, QSP and nonclinical modelers to improve designs for effective and durable oncology therapies.

ROLE RESPONSIBILITIES

The Postdoctoral Fellow will develop and utilize mathematical models toward enhanced quantitative understanding of the mechanisms for tumor resistance based on literature and internal data.

This may include but is not limited to:

• Employing modeling and simulation techniques for predicting oncology treatment outcomes

• Identifying relevant data (in vitro and in vivo preclinical and clinical study data) for model development, optimization, and validation

• Designing nonclinical experiments aimed towards generating data for model validation and testing of relevant hypotheses

• Effectively communicating model results and outcomes to scientists in both quantitative and non-quantitative disciplines

• Primary authorship on scientific publications and presenting at internal and external scientific meetings.

BASIC QUALIFICATIONS
  • Recent Ph.D. (0-3 years) in Applied Mathematics, Mathematical Biology, Chemical Engineering, Biomedical Engineering, Physics, Pharmaceutical Sciences or related discipline with strong numerical components focusing on mathematical modeling and simulation.
  • Training or previous experience in building QSP or differential equation-based models of biological or physiological pathways/systems is required.
  • Ability to perform mathematical calculations and ability to perform complex data analysis.
  • Office-based position with infrequent travel to scientific conferences and/or business meetings


PREFERRED QUALIFICATIONS
  • Understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including parameter estimation techniques
  • 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
  • In-depth, hands-on knowledge of modeling and simulation software (MATLAB, C/C++ preferred)
  • Keen interest in learning new areas of biology and building on a solid foundation of quantitative and computational skills
  • Self-directed with ability to work independently
  • Team player
  • Excellent communication and writing skills
  • Primary authorship on relevant publications in peer-reviewed scientific journals


Other Job Details:
  • Last Date to Apply for Job: November 20, 2020
  • Eligible for Relocation Package: YES
  • Eligible for Employee Referral Bonus: YES


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EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.

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