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Associate Director Quantitative Data Modeling

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Sanofi

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Location:
United States , Morristown

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

148500.00 - 247500.00 USD / Year
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Job Description:

The Associate Director will play a key role in advancing Sanofi’s internal pipeline across multiple therapeutic areas by conducting a broad spectrum of model-based analyses, spanning population PK and PK/PD modeling, disease progression modeling, and advanced methodologies such as data analytics, machine learning, and mechanistic modeling. The incumbent will contribute to data-driven decision making and the application of innovative modeling strategies with minimal supervision.

Job Responsibility:

  • Formulate drug development questions and develop modeling and simulation strategies for optimizing model-informed drug development in all stages of development
  • Conduct with minimal supervision model-based analyses such as population pharmacokinetics (PPK), PK/PD, exposure response, model-based meta-analysis, clinical trial simulations and disease progression modeling to drive internal pipeline forward
  • Conduct innovative quantitative methodologies such as data analytics, machine learning and mechanistic modeling as needed
  • Serve as M&S representative for clinical development projects
  • Act as a subject matter expert addressing technical and theoretical issues in the M&S area
  • Be able to operate in a multicultural environment and participate in international teams
  • Prepare and issue stand-alone M&S reports with minimal review
  • Summarize documents for submission to regulatory agencies, including but not limited to the FDA and EMA
  • Prepare abstracts, posters and manuscripts for external presentation and/or publication
  • Present at external scientific meetings as appropriate
  • Identify skill-sets necessary to advance career development
  • Ensure that all assigned project activities are performed in compliance with current departmental SOP’s, guidelines, industry best practices and regulatory guidelines

Requirements:

  • Ph.D. in pharmacometrics, biopharmaceutics, pharmaceutical sciences, mathematics, statistics, data science, computational biology, chemical/biomedical engineering, system pharmacology, computer science or closely related discipline
  • At least 5 years of industrial experience with a record of increasing responsibility and independence
  • Strong quantitative skills including mathematics, statistics, data science, AI/ML
  • Deep and extensive experience with advanced population modeling approaches (e.g. PPK, PKPD) and complex methodologies such data analytic, AI/ML and mechanistic modeling
  • Proficiency in conducting model-based analyses using standard pharmacometrics software (e.g., NONMEM, R, Monolix, etc.)
  • Proficiency in integrating and analyzing internal and external data to support decision making
  • Strong written and verbal communication skills, interdisciplinary collaboration, problem scoping and planning
  • Good knowledge of industry best practices, global regulatory, processes, standards of drug development
  • Technical expertise in several areas ranging from classic translational and population PK modeling, PK/PD modeling, exposure-response modeling, clinical trial simulation, drug-disease modeling, PBPK modeling, to advanced complex methodologies such as data analytics, machine learning and mechanistic modeling
  • Strong background in different M&S software such as NONMEM, R, Monolix, Phoenix NLME, PUMAS, Matlab, PKsim, SimCYP, SAS, Python, C/C++, Julia
  • Excellent oral and written communication skills and strong problem-solving skills
What we offer:
  • High-quality healthcare
  • Prevention and wellness programs
  • At least 14 weeks’ gender-neutral parental leave

Additional Information:

Job Posted:
January 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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