Sanofi2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA
Sanofi is hiring a 2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA (United States). It pays $98k a year and Level rates it ; you can apply on Level.
AI in this role
Pioneers AI-enabled approaches and experimental datasets for drug impurity identification in a two-year postdoctoral fellowship.
2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA
Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.
This Post-Doctoral opportunity will have a 2 years duration starting January 2027.
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.
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.
About You
Basic Qualifications:
Currently holding an accredited university degree in:
- Ph.D. in Analytical Chemistry, Chemistry, Pharmaceutical Sciences, Chemical Engineering, Computational Chemistry, Data Science applied to Chemistry, or a related discipline
Candidates must also meet the following eligibility requirements:
- 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
Why Choose Us
- Bring the miracles of science to life alongside a supportive, future focused team.
- Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
- Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
- Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
- Explore more with personalized development plans, short-term gigs, and internal mobility across functions and countries.
- Grow in a purpose-driven company where your voice matters and your work helps improve millions of lives.
- Thrive in inclusive, flexible workplaces that support your personal and professional well-being.
- Launch your career with a company that invests in you — and empowers you to reimagine what's possible.
Compensation
The salary range for this position is: $98.000 year. Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors.
#LI-Onsite
#vhd
Pursue progress, discover extraordinaryBetter 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.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
How we rate this
2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA at Sanofi rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytical chemistry was part of your work. What did you do?
- Tell me about a project where computational chemistry was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where impurity identification was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Analytical Chemistry, Computational Chemistry, Data Science, Impurity Identification, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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