Jobs / United States / Novartis Pharmaceuticals Corporation
Data Science & AI Innovation Postdoctoral Fellow
Novartis Pharmaceuticals Corporation · 🇺🇸 Cambridge (USA)
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 75 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 31 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 Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles1 certified filing for “Expert Science & Technology” (Biochemists and Biophysicists) in MA: $122k–$122k, median $122k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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).
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Sponsor Radar — Novartis Pharmaceuticals Corporation
The US Department of Labor certified 75 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 31 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 Novartis Pharmaceuticals Corporation →
About the role
Job Description Summary We are excited to invite applications for the Novartis Biomedical Research Postdoctoral Fellowship Program; a unique training opportunity designed for exceptional early-career scientists eager to tackle some of the most challenging problems in biomedical research and drug discovery. As a Postdoctoral Research Fellow, you will join the Cardiovascular and Metabolism disease area in Cambridge and pursue an innovative research project at the forefront of biomedical science and drug discovery. You will work alongside leading scientists in a highly collaborative, multidisciplinary environment while gaining exposure to the broader ecosystem that translates scientific discovery into medicines. Our fellows are empowered to ask bold scientific questions, apply cutting-edge technologies, and develop approaches that have the potential to transform patient care. Job Description Internal Job Title: Discovery Postdoctoral Fellow Position Location: Cambridge, MA, onsite #LI-onsite * This position is not eligible for visa sponsorship. * Please note that relocation support is not available for this position. * This is a full-time training position of up to three years in duration. The start date for the 2026 Novartis BR Postdoctoral Fellowship Program cohort is October 1, 2026. Please confirm your availability to meet this date in your cover letter. Research Opportunity Cardiovascular disease remains a major unmet medical need and a strategic focus for Novartis. This fellowship offers a unique opportunity to develop and apply cutting-edge AI methods to integrate ECG, genomic, and proteomic data at an unprecedented scale. The Fellow will work with large, multimodal datasets from population biobanks, clinical studies, and real-world data to discover novel biomarkers, uncover disease mechanisms, and improve patient stratification. Through close collaboration with experts in data science, human genetics, and cardiovascular medicine, the Fellow will gain hands-on experience translating advanced analytics into insights that can inform the development of future therapies. Key Responsibilities As a Data Science & AI Innovation Fellow, you will: • Develop and apply multimodal AI/ML models and statistical methods to integrate ECG, genomic, and proteomic data for cardiovascular disease research. • Analyze large-scale multimodal datasets from biobanks, clinical studies, and real-world data sources to identify novel biomarkers and disease mechanisms. • Design, implement, and evaluate predictive and interpretable models linking physiological signals with molecular and genetic variation. • Collaborate with a multidisciplinary team of data scientists, geneticists, clinicians, and cardiovascular researchers. • Communicate findings through publications, conference presentations, and internal scientific seminars. Why Join the Program? The Novartis Biomedical Research Postdoctoral Fellowship Program is designed to develop the next generation of scientific leaders and power the future of medicine through rigorous research, and immersive learning experiences, including the implementation of AI tools in biomedical research. Postdoctoral Research Fellows benefit from: • Guidance from accomplished scientific leaders and subject matter experts • Access to advanced technologies, platforms, and research capabilities • Collaboration across disciplines and organizational boundaries • A global and diverse community of postdoctoral fellows • Dedicated programming designed to help fellows thrive throughout their careers. • Personalized experiential learning opportunities through a Postdoc Practicum that empowers fellows to explore new scientific domains, build cross-functional expertise, and expand their impact beyond their primary resear