Jobs / United States / Novartis Pharmaceuticals Corporation
Scientific AI Platform Lead, Data Science, Disease Area X
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).
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 The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. Job Description Internal Job Title: Senior Expert I/II, Data Science Position Location : Cambridge, MA, hybrid ** This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. Job description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx. Responsibilities: • Translate scientific and operational AI needs into impactful, decision-enabling solutions. • Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products. • Scale AI workflows using reproducible, transparent, secure, and FAIR data practices. • Prioritize resources against evolving research needs. • Establish rigorous project evaluation, deployment, lifecycle, and governance practices. • Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams. • Provide oversight and onboarding of external vendors and service providers. • Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements : • PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience. • 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry • Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. • Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. • Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms. • Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products. • Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS). • Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. • Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Compensation & Benefits: The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and