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Senior Quantitative Systems Pharmacologist

Employer
Pfizer
Location
La Jolla, California
Salary
Competitive
Closing date
Nov 3, 2021

View more

Discipline
Life Sciences, Pharmacology
Position Type
Full Time
Organization Type
All Industry, 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. We are seeking a highly motivated individual to develop and apply QSP models for the in silico evaluation of novel targets and compounds, including application to preclinical and clinical study designs and mechanistic interpretation of study results in support of development of breakthrough cancer treatments and combinations . 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 within and across therapeutic areas.

ROLE RESPONSIBILITIES
  • Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate novel targets, pathways, and drug candidates in oncology
  • 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 point-of-contact in multidisciplinary project teams to solve challenging problems in drug discovery and development; contribute to preclinical and clinical study design and mechanistic interpretation of data
  • Develop and/or utilize state-of-the-art mathematical tools to gain insight into causal relationships between individual components of targets, pathways, and systems-level responses
  • Analyze and interpret complex data sets in the context of disease mechanisms and pathways; develop a deep disease understanding and knowledge base

BASIC QUALIFICATIONS
  • Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, or related disciplines with strong background in mathematical, statistical, and numerical methods
  • 0 -5 years relevant experience (postdoc or equivalent in academia or industry) in developing differential equation-based models of biological and/or physiological systems


PREFERRED QUALIFICATIONS
  • Postdoctoral experience in QSP or biological systems modeling; prior experience in developing models with applications in oncology is desirable
  • 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 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 early career scientist who is passionate about developing a deep understanding of disease and disease mechanisms withexperience interacting with biology or clinical colleagues
  • Self-directed, independent, and highly-motivated researcher who excels in a collaborative, multi-disciplinary team environment
  • Excellent oral and written communication skills; ability to engage and effectively communicate within a cross-disciplinary team is highly valued
  • Primary authorship on relevant publications in peer-reviewed scientific journals

Other Job Details:
  • Eligible for Relocation Package
  • Eligible for Employee Referral Bonus


#LI-PFE

Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

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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