2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA

Sanofi • Cambridge, MA

13d • Onsite

About The Position

This Post-Doctoral opportunity will have a 2 years duration starting January 2027. Sanofi is 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.

Available Disciplines:
Impurity Identification & AI-Enabled Analytics: Impurity identification remains one of the most challenging and resource-intensive activities in pharmaceutical development. This position offers a unique opportunity to pioneer AI-enabled approaches that accelerate the identification, structural elucidation, and mechanistic understanding of process- and degradation-related impurities. In addition to applying state-of-the-art AI tools, the successful candidate will help develop the high-quality experimental datasets necessary to train, validate, and improve next-generation AI models for analytical sciences. The fellow will work closely with analytical scientists, synthetic chemists and data scientists to develop innovative solutions.

Requirements

• Ph.D. in Analytical Chemistry, Chemistry, Pharmaceutical Sciences, Chemical Engineering, Computational Chemistry, Data Science applied to Chemistry, or a related discipline
• Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
• Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.
• Expertise in mass spectrometry, including LC-MS/MS and high-resolution mass spectrometry
• Demonstrated experience in structural elucidation and interpretation of complex analytical datasets
• Strong programming and data analysis skills using Python, R, or comparable computational platforms

Responsibilities

• Pioneer AI-enabled approaches that accelerate the identification, structural elucidation, and mechanistic understanding of process- and degradation-related impurities.
• Develop high-quality experimental datasets necessary to train, validate, and improve next-generation AI models for analytical sciences.
• Work closely with analytical scientists, synthetic chemists and data scientists to develop innovative solutions.

Benefits

• Apprenticeships
• Internships
• Graduate programs
• International experiences
• Access to the latest tools
• Digital innovation
• Continuous learning
• Personalized development plans
• Short-term gigs
• Internal mobility across functions and countries
• Inclusive, flexible workplaces that support your personal and professional well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree