Senior QSP Modeling Lead

Sanofi; Morristown, Northern (NJ, KY); Hybrid; USD 149,000 - 215,000; Full time

Job summary

Sanofi in Morristown, NJ is seeking an Associate Director for QSP Quantitative Systems Pharmacology. Lead QSP modeling efforts, integrate diverse data, and translate insights into actionable recommendations for R&D teams.

The ideal candidate has a Ph.D. in a relevant field and 6+ years of hands-on QSP experience, with strong publication records and programming proficiency in Matlab/R/Julia. Hybrid work arrangement offered with collaboration across cross-functional teams.

Qualifications

• Ph.D. in Biomedical Engineering, Applied mathematics, Systems Biology/Pharmacology or related field.
• 6+ years hands-on QSP modeling in pharma/biotech with impact on R&D.
• Independent project leadership with a strong publication record.
• Proficiency in Matlab/R/Julia; Matlab preferred.
• Experience using QSP models to influence go/no-go decisions.
• Deep understanding of disease biology in at least one therapeutic area.
• Experience with heterogeneous preclinical and clinical data.
• Experience with reproducible modeling workflows.
• Proven ability to lead modeling workstreams and communicate insights.

Responsibilities

• Interface with project teams to align M&S needs and QSP strategy.
• Develop and implement mechanistic modeling approaches to support programs.
• Communicate modeling predictions to stakeholders to inform decisions.
• Identify critical preclinical and clinical data for model development.
• Stay current with advances in disease modeling and regulatory expectations.
• Contribute to abstracts and manuscripts; mentor junior staff.

Skills

QSP modeling

Programming (Matlab/R/Julia)

Data integration

Lead modeling workstreams

Communication with stakeholders

Education

Ph.D. in Biomedical Engineering/Applied Math/Systems Biology/Pharmacology

Tools

Matlab

R

Julia

Job description

Sanofi in Morristown, NJ is seeking an Associate Director for QSP Quantitative Systems Pharmacology. Lead QSP modeling efforts, integrate diverse data, and translate insights into actionable recommendations for R&D teams.

The ideal candidate has a Ph.D. in a relevant field and 6+ years of hands-on QSP experience, with strong publication records and programming proficiency in Matlab/R/Julia. Hybrid work arrangement offered with collaboration across cross-functional teams.