Jobs / United States / Gilead Sciences INC
Statistical Programming Lead- Manager (Analysis Oversight)
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 roles14 certified filings for “Manager, Statistical Programming” (Statisticians) in CA: $140k–$178k, median $159k. Most were filed at wage level III (57%) — 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 — 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 Clinical Data Science (CDS) is a business unit within Development whose mission is to achieve regulatory approval and successful marketing of new therapies through a reproducible, transparent, efficient, and validated approach to study design, data acquisition, analysis, and interpretation. Our pursuit is to deliver on unmet medical needs by introducing therapies for life-threatening diseases. Within CDS, we strive to reach this goal through excellence in data management, analytical methods, and advanced programmatic approaches to gain insights from a wide range of data assets. To achieve the commitments of our clinical portfolio, CDS has been developing an agile and sustainable resource model that leverages external partnerships to form a strong alliance with internal Gilead roles. Together, these teams will deliver statistical programming outputs that meet study analysis needs and requirements. The Analysis Oversight Statistical Programming (AOSP) Lead is essential to these partnerships. As a member of the Study Management Team (SMT), the AOSP Lead works closely with the study team to determine the statistical programming requirements, understand study milestones and programming dependencies, and leads the development of the programming outputs. The Analysis Oversight Statistical Programming Lead is accountable for the development of Analysis Data Model (ADaM) and Table, Figure, and Listing (TFL) deliverables, ensuring completeness, accuracy, and compliance with regulatory and quality standards. This role will progressively review vendor performance metrics in governance meetings to monitor trends and address any challenges, risks, and/or bottlenecks encountered by the study programming team. The position requires a strong acumen in statistical analysis, focused on achieving high-quality outputs that support clinical results. In addition, the candidate will need to perform quality management, coach and mentor programming colleagues, and provide statistical guidance as it relates to specifics of the study and general processes and statistical program education. The candidate will need to closely monitor the quality and timeliness of clinical trial programming deliverables, provide process guidance, support creation and maintenance of onboarding materials, and direct prioritization and coordination of study related deliverables. Key Responsibilities will include, but are not limited to the following: • Exhibits strong statistical & programming knowledge & expertise to influence key decisions on statistical programming outputs and provide guidance to statistical programmers. • Atte