Jobs / United States / Novartis Pharmaceuticals Corporation
Senior Principal Data Scientist
Novartis Pharmaceuticals Corporation · 🇺🇸 San Diego
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 roles23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (83%) — 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.
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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 At Novartis, we are reimagining medicine through data, advanced analytics, artificial intelligence, and digital innovation. As a Senior Principal Data Scientist, you will play a critical leadership role in transforming complex scientific and business challenges into actionable insights that accelerate innovation and improve patient outcomes. Join the Biologics Research Center (BRC) as part of the Data Management & Software Engineering group. BRC develops innovative therapies and advances technologies that enable them across a broad range of disease areas, including complex biologics and genetic medicines such as siRNA, and cell and gene therapies. You will serve as the US-based strategic partner to scientific and digital stakeholders across the BRC organization and play a key role in strengthening collaboration, alignment, and knowledge sharing across global research teams. You will help drive the adoption of the Biomedical Research (BR) Data Strategy, advance scientific data governance, and enable consistent implementation of data and digital initiatives across research sites. Working within a highly matrixed environment, you will translate scientific and business needs into actionable strategies, foster stakeholder alignment, and accelerate the realization of value from scientific data, digital platforms, analytics, and AI-enabled research capabilities. This role combines strong communication skills with strategic leadership, enabling Novartis to unlock the full value of enterprise data and accelerate breakthrough discoveries for patients worldwide. Job Description Key Responsibilities • Build trusted partnerships with scientific, operational, and digital stakeholders across the global research organization. • Serve as a trusted advisor to US stakeholders, helping shape data and digital opportunities in alignment with business objectives and strategic priorities. • Drive adoption, stakeholder alignment, and successful implementation of the BR Data Strategy, associated governance frameworks, and supporting data and digital capabilities in alignment with the Complex Modalities Data Domain. • Lead business analysis, requirements gathering, and discovery activities for scientific data and digital initiatives by translating scientific workflows, business requirements, and strategic objectives into scalable solutions. • Drive adoption of enterprise platforms, data products, and digital capabilities, with a focus on enabling efficient data capture, data visualization, and automated data flows. • Lead and co-lead cross-functional and global initiatives through matrix leadership and stakeholder influence, without direct managerial authority. Essential Requirements • Advanced degree (Ph.D. or M.Sc.) in Life Sciences, Data Science, Bioinformatics, or a related field. • 8+ years of experience within pharmaceutical or biotechnology R&D, including experience working across scientific, data, and digital functions. • Strong understanding of scientific data management, data governance, and research data ecosystems. • Strong leadership, stakeholder management, project management, and cross-functional collaboration skills. • Demonstrated ability to translate business challenges into solutions that deliver measurable impact and drive strategic outcomes. • Excellent written, verbal, presentation, and influencing skills with the ability to communicate effectively at all organizational levels. Desirable Requirements • Experience with scientific data platforms, data products, and research data ecosystems. • Working knowledge of coding languages commonly used in scientific data workflows (e.g., SQL, Python, R) and familiarity with AI-assisted development, automation, and agent-based solutions. • Advanced expert