Jobs / United States / Sanofi US Services INC
Principal Scientist, Quantitative Systems Pharmacology
Sanofi US Services INC · 🇺🇸 2 Locations
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 roles6 certified filings for “Senior Scientist” (Biochemists and Biophysicists) in MA: $100k–$122k, median $101k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% 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.
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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: Principal Scientist, Quantitative Systems Pharmacology • Location: Cambridge, MA About the job: We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping teams accelerate progress. Join our Quantitative Systems Pharmacology (QSP) group as a Principal Scientist and you'll support our R&D portfolio with mechanistic disease modeling. Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions. 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: • Function as part of a team to develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery & development. • Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included. • Identify and analyze suitable preclinical and clinical data to inform modeling activities. • Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy. • Maintain extensive documentation of model development process, and data analysis. • Maintain quantitative systems pharmacology expertise through comprehensive education • undefined • Communicate modeling predictions to key stakeholders. About you: Basic Qualifications • PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field. • For candidates with PhD degrees: Minimum 2 years of hands-on experience generating disease models, mechanistic/multiscale models or QSP models. Academic research experience, internships and post-doctoral fellows will be considered. • For candidates with Master degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting. Preferred Qualification: • Proficiency in mathematical modeling using differential equations. • Machine learning experience. • Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred). • Excellent oral and written communication skills. • Ability to quickly learn pathophysiology in indications of interest. • Highly motivated, detail-oriented, and independent researcher. • Able to thrive in a collaborative, multi-disciplinary team environment. • Strong commitment to on-the-job-training. • Knowledge of Immuno-oncology or Neuroscience. • Record of increasing responsibility and independence, developing and applying QSP approaches. • Experience in drug discovery/development a plus, especially in pharmacometrics. Why Choose Us? • Make your work count by supporting a company that brings life-changing treatments to millions — and is committed to doing right by patients, communities, and t