Jobs / United States / Sanofi US Services INC
2027 Spring Co-op Machine Learning AI, Cambridge, MA
Sanofi US Services INC · 🇺🇸 Cambridge, MA
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. USCIS also records 29 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles1 certified filing for “Turing AI Precision Engine PLO” (Computer and Information Systems Managers) in MA: $238k–$238k, median $238k. 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).
- Confirmed live todayWhen a source last listed this job as open.
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.
Or apply yourself on the official page →
Sponsor Radar — Sanofi US Services INC
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. USCIS also records 29 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Sanofi US Services INC →
About the role
Job Title: 2027 Spring Co-op Machine Learning AI • Grade: Co-op • Location: Cambridge, 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 Machine Learning AI team . The Quantitative Pharmacology (QP) group in Sanofi is seeking a Machine Learning co-op to implement, develop and validate data-based (AI/ML) models to enhance decision making across drug discovery and development. The focus will be on predicting pharmacology dynamics of large molecules (biologics) by integrating structural properties, preclinical and clinical data. The resulting AI/ML models will aid in early drug development decisions and drive impact across multiple R&D organizations. In support of these activities, the successful incumbent should be able to analyse and interpret preclinical and clinical data, design and train Biology- and Pharmacology-based AI/ML models and support critical decision making as part of the QP team. The QP group supports multiple therapeutic areas and research platforms within the broader R&D organization. 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. About You Basic Requirements: • Currently enrolled in a Master's or PhD program in a STEM field (e.g. Engineering, Computer Science, Mathematics or related field) • 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 of the co-op/internship. • 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. • Experience with Python and relevant libraries • Experience with Statistical/Machine Learning Preferred Qualifications: • Familiarity with basic concepts of drug discovery and development. Focus on biologics preferred. • Good written, presentation and verbal communication skills are essential. • Ability to work in a matrix and in a global environment. • Experience with Large Language models/ deep learning/ time series data modeling preferred 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. Compensation The salary range for this position is $47 -$60 hourly. All compensation will b