Job title: Associate Director - QSP Quantitative Systems Pharmacology
About the JobAt Sanofi, a global health care and pharmaceutical company, modeling and simulation approaches support strategy and critical decision making throughout the various phases of drug development. The Disease Modeling (DM) group at Sanofi is seeking to hire a highly talented Quantitative Systems Pharmacology (QSP) modeling scientist to support its R&D portfolio. The DM group is part of Quantitative Pharmacology department within the Translational Medicine Unit in the R&D organization of Sanofi.
We are seeking an experienced
Associate Director - QSP Quantitative Systems Pharmacology 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, clinical, stakeholders to enable model-informed decision making.
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- 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 creating and 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.
- Proven ability clearly communicate quantitative insights to scientific and non-scientific stakeholders, tailoring complexity to the audience.
Preferred- Experience mentoring junior scientists.
- Understanding of neurology, neuroinflammation and neurodegeneration.
- Exposure to regulatory interactions or documentation involving MIDD.
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.
- Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.
- Help improve the lives of millions of people globally by making drug development quicker and more effective.
- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
The salary range for this position is:
$148.500,00 - $214.500,00
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.
