Quantitative Systems Pharmacologist

Posted 2 Hours Ago
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La Jolla, CA
Hybrid
103K-172K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Lead QSP model development and application for drug candidates, analyzing complex datasets and collaborating with cross-functional teams to enhance decision-making in drug discovery.
Summary Generated by Built In
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 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.
ROLE 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

BASIC QUALIFICATIONS:
  • 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 QUALIFICATIONS:
  • 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

Additional Job Details:
  • Last date to apply is: December 15, 2025

The annual base salary for this position ranges from $102,900.00 to $171,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
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. This position requires permanent work authorization in the United States.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Medical

Top Skills

C/C++
Julia
Matlab
R
Simbiology

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HQ: New York, NY
121,990 Employees
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.

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