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Sanofi

Associate Director – QSP Quantitative Systems Pharmacology

Sanofi

Associate Director leading QSP modeling efforts at Sanofi, integrating biological data for drug discovery. Collaborating with teams to drive decisions based on predictive modeling insights.

Posted 6/26/2026full-timeMorristown • Massachusetts, New Jersey • 🇺🇸 United StatesSenior💰 $148,500 - $214,500 per yearWebsite

About the role

Key responsibilities & impact
  • Independently lead QSP modeling efforts
  • Integrate diverse biological and clinical data
  • Translate model insights into actionable recommendations for project teams
  • Communicate modeling predictions to key stakeholders
  • Identify and interpret preclinical and clinical data critical for model development
  • Stay current with advances in systems pharmacology and regulatory expectations
  • Contribute to abstracts and manuscripts
  • Mentor others to develop similar capabilities

Requirements

What you’ll need
  • Ph.D. in Biomedical Engineering, Applied mathematics, Systems Biology/Pharmacology or related fields
  • ≥6 years of hands-on QSP modeling experience in the pharmaceutical or biotechnology industry
  • Strong publication record in QSP modeling commensurate with experience
  • Hands-on experience with programming languages like Matlab/R/Julia (Matlab preferred)
  • Experience working with heterogeneous datasets
  • Experience with best practices for reproducible, well‑documented modeling workflows
  • Proven ability clearly communicate quantitative insights to scientific and non‑scientific stakeholders

Benefits

Comp & perks
  • high-quality healthcare
  • prevention and wellness programs
  • at least 14 weeks’ gender-neutral parental leave

ATS Keywords

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Hard Skills & Tools
QSP modelingMatlabRJuliabiological data integrationclinical data integrationmodel developmentreproducible modeling workflowsquantitative insights communicationpublication record
Soft Skills
leadershipmentoringcommunicationactionable recommendationsstakeholder engagement
Certifications
Ph.D. in Biomedical EngineeringPh.D. in Applied MathematicsPh.D. in Systems BiologyPh.D. in Pharmacology