Jobs / United States / Glaxosmithkline LLC
Finance Portfolio Analytics Analyst
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 roles3 certified filings for “AIR & Vaccine Medical Insight Analyst” (Data Scientists) in NC: $107k–$127k, median $127k. Most were filed at wage level IV (67%) — 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
At GSK we unite science, technology and talent to get ahead of disease together. Deciding which R&D projects to invest in — and how to sequence, resource and prioritise them — is one of the most consequential judgements we make. The Portfolio Data Science team turns scientific, clinical, operational and financial inputs into the analysis and insight that guide those investment decisions across short-, medium- and long-range horizons. Position Summary Reporting to the Head, Data Science, Analytics, and AI, the Finance Portfolio Analytics Analyst is the hands-on engine behind the analysis that guides R&D portfolio and investment decisions. You will build and maintain the financial and operational models, forecasts and dashboards the team relies on, and support ad hoc strategic analyses — pulling together data from scientific, clinical, financial and operational sources and turning it into clear, accurate outputs. Working closely with the Head and alongside the Finance Portfolio Analytics Manager, this role is an opportunity to develop deep portfolio-analytics expertise in a high-visibility environment and to grow toward independent ownership of analyses. Key Responsibilities: Analysis & Modelling • Build, populate and maintain financial and valuation models (e.g. NPV/rNPV, scenario and sensitivity analysis) under guidance. • Support ad hoc strategic and exploratory analyses; gather, clean and structure data from scientific, clinical, financial and operational sources. • Help develop and run probabilistic and Monte Carlo simulations and other quantitative analyses. • Portfolio reporting & forecasting • Maintain portfolio forecasts, metrics, milestones and KPI tracking, and flag variances against plan. • Build and maintain dashboards, reports and decision materials for review discussions. • Support improvements to data quality, reporting tools and forecasting methods. • Decision support & collaboration • Prepare clear, accurate materials for portfolio and product review discussions. • Synthesise quantitative and qualitative findings into concise summaries, and communicate results clearly to non-technical stakeholders. • Partner across development, operations, finance and technology teams, taking direction from the Head and senior analytics colleagues and following through on commitments. Basic Qualifications: • Bachelor’s degree in a quantitative field (engineering, computer science, mathematics, economics, operations research or finance) or life sciences with specific quantitative experience; or equivalent professional experience. • 2+ years’ experience in financial and operational modelling, data analysis, analytics or forecasting; • 2+ years’ experience turning data and analysis into clear, actionable insights and recommendations. • 2+ years’ experience coding in at least one analytical or programming language (e.g. Python, R or SQL), with exposure to data science app development frameworks (e.g. Shiny, Streamlit or Dash). Preferred Qualifications : • Experience in pharmaceuticals, biotech, life sciences, consulting or financial services. • Exposure to drug development or R&D portfolio concepts. • Strong quantitative fundamentals, with accuracy and attention to detail. • Ability to communicate analytical results clearly to non-technical stakeholders and to work effectively in cross-functional teams. • Strong data science fundamentals, with exposure to valuation methods (NPV/rNPV), scenario and sensitivity analysis and Monte Carlo simulation. • Experience with web app development, from either a data engineering or UI perspective (e.g. Shiny, Streamlit or Dash). • Interest in or experience with Generative AI tools and frameworks. • Familiarity with standard software development tools and practices (e.g. Git