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2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA

Sanofi Group

Cambridge, MAFull-time$98K/yrSeen 2w agoSeen in employer's feed 6 days ago

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At a glance

Compensation
$98K/yr
Location
Cambridge, MA
Role Type
Fellowship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Sanofi offers a two-year post-doctoral fellowship beginning in January 2027 in impurity identification and AI-enabled analytics. The fellow will apply AI tools and help develop experimental datasets for analytical-science models, working with analytical scientists, synthetic chemists, and data scientists. The role is based in Cambridge, Massachusetts, and requires a Ph.D. in a relevant discipline, permanent U.S. work authorization, and the ability to work 40 hours per week.

Skills & qualifications

RequiredNice to have

Skills

Mass SpectrometryLC-MS/MSHigh-Resolution Mass SpectrometryStructural ElucidationAnalytical Data InterpretationProgrammingData AnalysisPythonR

Qualifications

Ph.D. In Analytical Chemistry, Chemistry, Pharmaceutical Sciences, Chemical Engineering, Computational Chemistry, Data Science Applied to Chemistry, or Related DisciplinePermanent U.S. Work Authorization40 Hours Per Week

Full job description

Cambridge, MA

Full time

R2874732

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

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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.

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 (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) !

We are an R&D driven, AI-powered biopharma company committed to improving people’s lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people’s lives.

We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world.

Discover more about us visiting www.sanofi.com or via our movie We are Sanofi (https://youtu.be/96EwNjb1TLo)

Start a career that makes a difference.

Reinvention is in our DNA. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities.

This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.

How this job compares

Set against the 542 open Postdoctoral Fellow jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$98K/yr
  • Massachusetts median$70–80K/yr69 salary ranges
  • US median$73–80K/yr351 salary ranges

This rate, $98K, is 33% above the Massachusetts median midpoint ($74K) — in the top quarter of Postdoctoral Fellow salary ranges in Massachusetts.

Openings
Olive Jobs lists 85 open Postdoctoral Fellow jobs in Massachusetts and 542 across the US. Under 1% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
Postdoctoral Fellow postings that state a minimum ask for 2 years of experience at the median; the middle half ask for 1 to 4 years (44 postings).
Education
This posting asks for a doctorate or professional degree; 434 of the 542 open Postdoctoral Fellow jobs (80%) ask for a doctorate or professional degree.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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