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Sanofi is seeking a Principal Scientist - CMC Statistician in Framingham, MA to provide statistical leadership for CMC activities, including process development, analytical methods, and formulation development. You will apply DoE, multivariate analysis, and advanced modeling to support regulatory filings.
The role requires a PhD or MSc in statistics or related fields, 3–6 years of relevant experience, and proficiency in R, SAS, Python, and JMP.
Location: Framingham, MA
As part of the development of Sanofi’s pharmaceutical products, the R&D Data Sciences department and more specifically the Statistics department for the Chemical Manufacturing Control (CMC) ,CMC Statistics , is responsible for contributing to statistical support, modelling, digitalization, decision-making and filing of new product registration files.
As a CMC Statistician within our Data Sciences/CMC Statistics, you’ll be supporting the CMC activities for process, analytical methods and formulation development, for several CMC sites in the world.
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. Together, we chase the miracles of science to improve people’s lives.
Minimum 3 years (PhD) or 6 years (Master's) of experience as a Statistician in CMC (Chemistry, Manufacturing and Control) studies/activities, industrial statistics, manufacturing, or closely related fields such as cosmetics or food industry. Academic or research experience may be considered but industry experience is preferred
Knowledge in non-clinical statistics applied to CMC development (e.g., analytical method validation or transfer, specification limits calculation, stability modeling, comparability studies, or Quality by Design)
Expertise in industrial statistics including Design of Experiments (DoE), multivariate data analysis, or statistical modeling
Proficiency in statistical software applications, such as R or JMP; experience with SAS or Python is a plus
Experience in writing and communicating technical documents, reports, and presentations for regulatory purposes
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Aff…
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Pursue progress , discover extraordinary
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
US and Puerto Rico Residents Only
Sanofi Inc. 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.
North America Applicants Only
The salary range for this position is:
$122.250,00 - $176.583,33
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.