Senior QSP Modeler - Neurology Drug Discovery

Sanofi Group; Morristown (NJ); On-site; USD 149,000 - 248,000; Full time

Benefits offered by this job

Health benefits

Parental leave 14 weeks

Job summary

Sanofi seeks a QSP Modeler in Morristown, NJ to design, build, and apply mechanistic, multiscale QSP models that inform drug discovery decisions. You will lead modeling efforts, integrate diverse data, and translate insights into actionable recommendations for research teams.

The role emphasizes independence, collaboration with research and clinical stakeholders, and contribution to publications while driving model-informed decision making across neurology programs.

Qualifications

• Ph.D. in Biomedical Engineering, Applied mathematics, Systems Biology/Pharmacology or related fields.
• ≥6 years of hands‑on QSP modeling experience in pharma/biotech with impact on R&D programs.
• Proven ability to lead modeling workstreams and communicate quantitative insights to diverse audiences.

Responsibilities

• Interface with project teams to align M&S needs and develop QSP strategy.
• Develop and implement mechanistic modeling approaches to support project M&S needs.
• Communicate modeling predictions to stakeholders to inform strategy and decisions.
• 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 junior scientists and lead workstreams.

Skills

QSP modeling

Independent project leadership

Communication with stakeholders

Data integration

Scientific publications

Model-informed decision making

mentoring junior scientists

Education

Ph.D. in Biomedical Engineering / Applied mathematics / Systems Biology or related fields

Tools

Matlab

R

Julia

Job description

Sanofi seeks a QSP Modeler in Morristown, NJ to design, build, and apply mechanistic, multiscale QSP models that inform drug discovery decisions. You will lead modeling efforts, integrate diverse data, and translate insights into actionable recommendations for research teams.

The role emphasizes independence, collaboration with research and clinical stakeholders, and contribution to publications while driving model-informed decision making across neurology programs.