Associate Director - QSP Quantitative Systems Pharmacology
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About the job
Quantitative Systems Pharmacology (QSP) Modeler
to develop and apply mechanistic, multiscale models that inform drug discovery and development decisions across the R&D pipeline. The successful candidate will independently lead QSP modeling efforts, integrate diverse biological and clinical data, and translate model insights into actionable recommendations for project teams. This role partners closely with research, quantitative pharmacology, and clinical stakeholders to enable model-informed decision making. The position is based in Morristown, NJ.
Position Objectives:
- Design, build, and apply QSP modeling approaches to support decision making within neurology therapeutic area.
About Sanofi
Main responsibilities
- Interface with project team in aligning M&S needs and develop QSP strategy to address needs.
- Develop, and implement innovative mechanistic modeling strategies to support project team M&S needs.
- Communicate modeling predictions to key stakeholders to inform strategy and decision-making.
- Identify and interpret preclinical and clinical data critical for model development and refinement.
- Stay current with advances in systems pharmacology, disease modeling, and regulatory expectations for model-informed drug development
- Contribute to abstracts and manuscripts.
- Perform job duties independently with minimal supervision and mentor others to develop similar capabilities.
About you
Qualifications:
- 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, with demonstrated impact on R&D programs.
- Track record of productivity, with evidence of independence in leading scientific projects. Strong publication record in QSP modeling commensurate with experience.
- Hands-on experience with programming languages like Matlab/R/Julia (Matlab preferred).
- Demonstrated experience using QSP models to directly influence go/no‑go decisions, and competitive differentiation within pharma setting.
- Deep understanding of disease biology within at least one therapeutic area and experience applying QSP across multiple programs or drug modalities.
- experience working with heterogeneous datasets, including preclinical, and clinical data.
- Experience with best practices for reproducible, well‑documented modeling workflows.
- Proven ability to lead modeling workstreams and clearly communicate quantitative insights to scientific and non‑scientific stakeholders, tailoring complexity to the audience.
- Experience mentoring junior scientists.
Knowledge And Skills Desirable but Not Essential:
- Understanding of neurology, neuroinflammation and neurodegeneration
- Exposure to regulatory interactions or documentation involving modeling and simulation.
Why Choose Us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
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, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd
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