R&D
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Job title: Modeling Scientist

• Location: Cambridge, MA

About the job

The Translational Disease Modeling (TDM) group at Sanofi is seeking to hire a highly talented modeling scientist to support its portfolio in R&D. Modeling and simulation (M&S) plays an important role in drug development at Sanofi.  This position is for a modeling scientist, with emphasis on mechanistic modeling or Quantitative Systems Pharmacology (QSP) approaches.  The position will be based in Cambridge, MA.

Position Objectives:

• Develop computational systems models to enhance the understanding of disease mechanisms and to guide therapeutic intervention strategies.
• Identify and leverage relevant preclinical and clinical data to incorporate into models.
• Communicate modeling predictions to key stakeholders.

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

About Sanofi:

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world and are supported and enhanced through our diverse portfolio of medical device and diagnostic products. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

• Function as part of a team to develop and implement multiscale computational models of complex diseases based on detailed biological mechanistic knowledge.
• Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
• Analyze internal preclinical and clinical data to inform modeling activities.
• Contribute to the computational infrastructure of the TDM group.
• Assess the functionality, efficiency and validity of new models.
• Analyze simulation results and identify suitable strategies to resolve issues pertaining to model performance and accuracy.
• Communicate technical material to internal and external audiences.
• Maintain extensive documentation of model development process, and data analysis.
• Maintain quantitative systems pharmacology expertise through comprehensive education including attendance and participation in conferences, scientific workshops etc.

About you

Basic Qualifications:

• PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field.

• For candidates with PhD degrees: Minimum 1 year of hands-on experience generating disease models, mechanistic/multiscale models or QSP models. Academic research experience, internships and post-doctoral fellows will be considered.
• For candidates with Master's degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting.

Preferred Qualifications:

• Track record of productivity in mechanistic or QSP modeling as evident with publications.  
• Machine learning experience.

• Proficiency in mathematical modeling using differential equations and programming as demonstrated by hands-on experience in a variety of computational tools such as MATLAB, Julia and R (MATLAB preferred).
• Knowledge of Immuno-oncology or Neuroscience.
• Experience in drug discovery/development a plus, especially in quantitative aspects such as bioinformatics or pharmacometrics.

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.

Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Pursue Progress. Discovery Extraordinary.

Werde Teil von Sanofi und starte mit uns in eine neue Ära der Wissenschaft – wo dein persönliches Wachstum genauso wegweisend ist wie unsere Arbeit. Wir investieren in dich, damit du weiterkommst, schneller denkst und Dinge möglich machst, die vorher undenkbar waren. Du wirst Grenzen verschieben, Gewohntes hinterfragen und smarte Lösungen entwickeln, die direkt bei den Menschen ankommen, für die wir da sind. Bereit, die Wunder der Wissenschaft zu jagen und Leben zu verbessern? Dann lass uns gemeinsam Großes bewegen – und das Außergewöhnliche entdecken.

Bei Sanofi stehen allen die gleichen Chancen offen – unabhängig von Herkunft, Hautfarbe, Religion, Geschlecht, Nationalität, sexueller Orientierung, Alter, Staatsangehörigkeit, Familienstand, Behinderung, Geschlechtsidentität, Veteranenstatus oder anderen gesetzlich geschützten Merkmalen.