Jobs / United States / Sanofi US Services INC

Sanofi US Services INC

2027 Spring Co op Process and CMC Data Science Waltham MA

Waltham, MA Posted today

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Skills this job asks for

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Sanofi US Services INC paid sponsored hires in similar roles2 certified filings for “Case Management and Process Expert” (Data Scientists) in NJ: $170k–$170k, median $170k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 47 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Sanofi US Services INC paid sponsored hires in similar roles
2 certified filings for “Case Management and Process Expert” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Job Title: 2027 Spring Co-op Process and CMC Data Science • Grade: Co-op • Location: Waltham, MA • Duration: 6 months About the Job Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated  Spring Co-op  to join our Process and CMC Data Science team. We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world. The Co-op position is located in the Data and Computational Science (DCS) department within Sanofi's mRNA Center of Excellence (mRNA CoE). In this role you will develop first-principle, machine-learning (ML), and hybrid models for critical drug-substance unit operations—including In-Vitro Transcription (IVT), Tangential Flow Filtration (TFF), and Chromatography—to accelerate mRNA-based process development. You will gain hands-on experience with mRNA technology and drug-substance manufacturing operations while applying advanced modeling techniques. This is a unique opportunity to contribute to cutting-edge biopharmaceutical research at the intersection of data science and process engineering. 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. 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. Main Responsibilities • Develop and validate first-principle, ML, and hybrid models for drug-substance unit operations such as IVT, TFF, and Chromatography in collaboration with your supervisor and cross-functional team members. • Investigate the impact of process parameters on critical quality attributes (CQAs) and quantify associated uncertainties using statistical and computational methods. • Design and execute Design of Experiments (DoE) for model structure selection, parameter estimation, and process optimization. • Analyze experimental and simulation data to generate actionable insights that inform process development decisions. • Document modeling workflows, results, and recommendations in clear technical reports and presentations. About You Basic Qualifications: • Pursuing a Master's por PhD in Chemical Engineering, Biochemical Engineering, Biochemistry, Data Science, Computer Science, Biomedical Engineering, Applied Mathematics, Analytical Chemistry, Physics, Software Engineering or a related quantitative field at an accredited college or university. • 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 enrolled in an accredited college or university throughout the duration

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