Jobs / United States / Glaxosmithkline LLC
Portfolio Data Science Director
Glaxosmithkline LLC · 🇺🇸 2 Locations
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 39 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 15 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 Glaxosmithkline LLC paid sponsored hires in similar roles4 certified filings for “Associate Director – Genomic Technologies” (Molecular and Cellular Biologists) in PA: $134k–$138k, median $136k. Most were filed at wage level IV (50%) — 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 — Glaxosmithkline LLC
The US Department of Labor certified 39 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 15 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 Glaxosmithkline LLC →
About the role
Portfolio Data Science Director Business Introduction GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Position Summary The Head, Data Science, Analytics, and AI sets the vision for, builds and leads the data science, analytics and AI capability that underpins R&D portfolio and strategic resource-management decisions. A peer to the Senior Director, Portfolio Projects, you will own the strategy, talent, standards and delivery of a multidisciplinary team —Portfolio, Finance and Strategic Resource Management teams — and be accountable for turning data into decision-ready analytics applications that internal business users rely on every day. This is a senior people-leadership role. You will lead, grow and develop a team of data scientists, analysts and engineers; set technical direction across data science and analytics projects; and partner with senior leaders across development operations, research units, finance and technology to translate business need into high-impact, responsibly built solutions. Responsibilities Strategy & vision · Define and own the strategy for data science, analytics and AI in support of R&D portfolio investment and strategic resource-management decisions. · Shape the roadmap of models, analytics applications and capabilities, balancing near-term delivery with long-term capability build. · Act as a peer to the Senior Director, Portfolio Projects, aligning the analytics agenda with portfolio, finance and operational priorities. People & technical leadership · Lead, hire, grow and develop a multidisciplinary team of data scientists, analysts and engineers, to support analytics across multiple teams including the Finance, Portfolio and Strategic Resource Management teams. · Set technical direction and standards across data science and analytics projects; manage prioritisation, delivery and quality across a portfolio of work. · Provide coaching, career development and performance management, building a high-performing, inclusive team culture. Delivery of analytics applications to business users · Be accountable for delivering robust, usable analytics applications and products to internal business users — from valuation and forecasting tools to resource-planning and KPI dashboards. · Ensure solutions are production-grade, well-supported and adopted, with clear ownership, documentation and user enablement. · Drive reusable platforms, patterns and standards that scale analytics delivery across the function. Partnership, governance & responsible AI · Partner with and influence senior and executive stakeholders, presenting analysis, trade-offs and recommendations that shape investment and resourcing decisions. · Own analytical governance, data quality and methodological rigour across the function’s deliverables. · Champion the responsible, compliant use of Gen AI and advanced analytics in a regulated environment. Qualifications/Skills Basic Qualifications: · Doctoral degree in a quantitative or scientific discipline (e.g. statistics, computer scien