×
Register Here to Apply for Jobs or Post Jobs. X

Scientist, Quantitative Systems Pharmacology

Job in Morristown, Hamblen County, Tennessee, 37815, USA
Listing for: Sanofi
Full Time position
Listed on 2026-06-01
Job specializations:
  • Research/Development
    Research Scientist, Clinical Research
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Title

Scientist, Quantitative Systems Pharmacology –

Location:

Morristown, NJ

Overview

The Quantitative Systems Pharmacology (QSP) group of Sanofi seeks a highly talented modeling scientist to support its portfolio in early clinical development. the role involves hands‑on QSP modeling and collaboration with internal and external partners to align with strategic project needs.

Responsibilities
  • Develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model‑informed drug discovery & development.
  • Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
  • Identify and analyze suitable internal preclinical and clinical data to inform modeling activities.
  • Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy.
  • Maintain extensive documentation of model development process, and data analysis.
  • Maintain quantitative systems pharmacology expertise through comprehensive education.
  • Communicate modeling predictions to key stakeholders.
Qualifications
  • PhD in systems pharmacology/biology, computational biology, biomedical engineering, or a related field with a strong record of productivity demonstrated through publications and scientific presentations with at least 2 years of postdoctoral experience in disease modeling/QSP.
  • Master’s degree with 4+ years of relevant industry experience.
  • Proficiency in mathematical modeling using differential equations.
  • Extensive experience in computational tools such as MATLAB, Julia, and R (MATLAB preferred).
Desirable Qualifications
  • Experience in drug discovery/development, especially in bioinformatics or pharmacometrics.
  • Knowledge of immunology.
Soft Skills
  • Excellent oral and written communication skills.
  • Ability to quickly learn pathophysiology in indications of interest and treatment approaches in immunology.
  • Highly motivated, detail‑oriented, and independent researcher.
  • Ability to thrive in a collaborative, multi‑disciplinary team environment.
  • Strong commitment to on‑the‑job training.
Benefits

Salary range: $ – $. Employees may be eligible to participate in company employee benefit programs. Benefits include health and wellbeing programs, at least 14 weeks of gender‑neutral parental leave, and other standard benefits.

Equal Opportunity

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and affirmative action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, age, ancestry, nationality, marital or domestic partnership status, sex, gender, gender identity or expression, sexual orientation, disability, veteran or military status, domestic violence victim status, atypical cellular or blood trait, genetic information, or any other characteristic protected by law.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary