Jobs / United States / Novartis Pharmaceuticals Corporation
AI/ML for Biology Scientist
Novartis Pharmaceuticals Corporation · 🇺🇸 LaJolla/SD
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 roles3 certified filings for “Director, AI Use Case Lead” (Computer and Information Research Scientists) in NJ: $186k–$186k, median $186k. 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 Diseases of Aging & Regenerative Medicine (DARe) DARe is seeking a talented AI/ML for Biology Scientist to advance the discovery of transformative therapies for diseases of aging. The role will integrate human genetics, longitudinal health data, multi-omics, imaging and functional biology with modern machine learning to uncover human disease mechanisms and identify, prioritize and validate therapeutic targets for diseases of aging with a focus on neurogenerative and cardiovascular diseases. Job Description Internal Job Title: Senior Expert I/II Data Science Position Location: San Diego, CA Hybrid About the Role: Aging is the biggest risk factor for chronic diseases. The new AI for biology scientist will advance DARe’s mission to discover novel transformative therapies for diseases of aging by integrating at scale human pathobiology, experimental science and machine learning. The role will develop, evaluate and apply machine-learning approaches across human genetics, longitudinal EHR cohorts, high resolution multi-omics technologies, cellular imaging and functional data to uncover disease mechanisms and drive therapeutic target identification, prioritization and validation. The successful candidate will combine strong biological insight with expertise in modern machine learning, including representation learning, multimodal methods, biological foundation models and reproducible model-development workflows. Working in a global, multidisciplinary environment, the new team member will partner with biologists, disease experts and data scientists to shape experimental strategies, build scalable analytical workflows and translate complex biomedical data into testable hypotheses and actionable evidence for drug discovery. Key Responsibilities: • Partner closely with experimental scientists to understand biological questions and design data-driven approaches to answer them. • Apply expertise in computational biology, human genetics, machine learning and AI approaches to support target identification, prioritization and validation for disease of aging. • Contribute to the design of large-scale experiments and data-generation strategies across genetics, multi-omics, imaging and functional biology. • Integrate diverse biological datasets to uncover disease mechanisms and generate therapeutic hypotheses. • Help establish reproducible and scalable computational workflows and analytical approaches that accelerate discovery across DARe. Essential Requirements: • PhD in Computational Biology, Human Genetics, Bioinformatics, Data Science, Machine Learning, Systems Biology or a related quantitative discipline. • 3+ years of experience applying computational and ML approaches to biomedical research, translational science or drug discovery. • Hands on experience with modeling and analyzing diverse biomedical data types including genetic, single cell, perturbation datasets, spatial transcriptomics, and cellular imaging. • Experience evaluating, adapting, and applying biological foundation models to biomedical research, particularly RNA, DNA, single-cell, or spatial data. • Experience with Model deployment (MLops) and agentic frameworks Strong programming skills in Python and R and proficient in working in modern data-science environments and developing reproducible workflows. • Experience integrating complex biological datasets and translate into actionable insights. • Ability to collaborate effectively with experimental scientists. • Demonstrated curiosity, learning agility and willingness to work across disciplines. Desirable Requirements: • Strong experience in human genetics, including GWAS, rare variant analysis, Mendelian randomization, colocalization or fine mapping. • R