Jobs / United States / Gilead Sciences INC
Associate Director, Data Scientist
Gilead Sciences INC · 🇺🇸 United States - California - Foster City
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 159 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 75 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 Gilead Sciences INC paid sponsored hires in similar roles1 certified filing for “Associate Director, Data Scientist” (Data Scientists) in AZ: $195k–$195k, median $195k. Most were filed at wage level IV (100%) — 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 — Gilead Sciences INC
The US Department of Labor certified 159 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 75 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 Gilead Sciences INC →
About the role
At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Responsibilities: AI Operations, Contractor Delivery & Hands-On Technical Work • Works as part of a team responsible for managing contractors, technical delivery partners, and AI workstreams across applied AI initiatives. • Supports contractor onboarding, work planning, technical direction, delivery coordination, quality review, and accountability for assigned work. • Provides hands-on technical direction for AI prototypes, model development, application patterns, data pipelines, and production AI systems. • Reviews technical designs, architecture decisions, model evaluation plans, code quality, implementation tradeoffs, and production-readiness. • Contributes to prototypes, proof-of-concepts, notebooks, design documents, technical spikes, and code reviews when needed. • Promotes scientific rigor, reproducibility, engineering excellence, responsible AI practices, documentation, and maintainable delivery patterns. AI Research, Applied Innovation & Product Value • Leads development, evaluation, deployment, and scaling of AI capabilities supporting research, development, clinical, regulatory, safety, and enterprise use cases. • Applies product thinking to ensure AI solutions address clear user needs, workflow realities, business priorities, adoption goals, and measurable outcomes. • Partners with Product Management & Experiences to understand user needs, prioritize opportunities, define success metrics, and support adoption. • Uses experimentation, user feedback, benchmarking, and iterative delivery to validate assumptions and improve AI capabilities over time. • Identifies opportunities to use emerging AI technologies to accelerate scientific discovery and operational effectiveness. • Uses experimentation, user feedback, benchmarking, and iterative delivery to validate assumptions and improve AI capabilities over time. • Identifies opportunities to use emerging AI technologies to accelerate scientific discovery and operational effectiveness. Technical Architecture & Engineering Excellence • Designs and guides AI solution architectures for assigned projects and business domains. • Guides development of Retrieval-Augmented Generation systems, agentic workflows, prompt and context engineering patterns, evaluation harnesses, model monitoring, and Langfuse-based observability. • Sets expectations for production-quality code, automated testing, version control, reproducible experiments, scalable deployment patterns, and operational documentation. • Develops reusable AI frameworks, tools, accelerators, platforms, and services that enable faster delivery across Research, Devel