2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA

Sanofi

Cambridge (MA)

On-site

USD 84,000 - 114,000

Full time

3 days ago
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Job summary

Sanofi in Cambridge, MA invites a Post-Doctoral Fellow for a 2-year program starting January 2027 to advance AI-enabled analytics in pharmaceutical analysis. The role emphasizes MS-based impurity identification, structural elucidation, and collaboration across analytical, synthetic, and data science teams.

Applicants should hold a PhD in a relevant field, be U.S. work authorized, and be prepared to relocate and work full-time for the duration. Strong programming skills (Python/R) are required.

Qualifications

  • Ph.D. in Analytical Chemistry, Chemistry, Pharmaceutical Sciences, Chemical Engineering, Computational Chemistry, Data Science applied to Chemistry, or related discipline.
  • Must be permanently authorized to work in the U.S. without sponsorship at time of application or in the future.
  • Must relocate to the office location and work 40 hrs/week, Monday to Friday for the full duration of the fellowship.
  • Expertise in mass spectrometry (LC-MS/MS, high-resolution MS).
  • Experience in structural elucidation and interpretation of complex analytical datasets.
  • Strong programming and data analysis skills using Python, R, or comparable platforms.

Responsibilities

  • Apply AI-enabled analytics to impurity identification and mechanistic understanding in pharmaceutical development.
  • Work with analytical scientists, synthetic chemists, and data scientists to develop innovative solutions.
  • Develop high‑quality experimental datasets to train and validate next‑gen AI models for analytical sciences.

Job description

2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA

Ready to grow your skills while helping shape the future of healthcare? At Sanofi,you’llbe 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 yearsduration 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 bedeterminedbased ondemonstratedexperience, skills, location, and other relevant factors.

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.

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