Jobs / United States / Glaxosmithkline LLC

Glaxosmithkline LLC

Statistics Leader (Oncology)

2 Locations Posted today

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Skills this job asks for

StatisticsPythonCommunication

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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.
  • 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.
  • What Glaxosmithkline LLC paid sponsored hires in similar roles2 certified filings for “Statistics Leader” (Statisticians) in PA: $128k–$140k, median $134k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
2 certified filings for “Statistics Leader” (Statisticians) in PA: $128k–$140k, median $134k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

At GSK we are looking for a highly capable Statistician to join GSK’s Research & Development (R&D) Oncology Statistics - Early Clinical Development, which acts as a central quantitative partner for R&D.   Job Purpose: The Statistics Leader role manages statistical planning and delivery across clinical programs and contributes to clinical developments plans within the R&D Oncology function. Working closely with clinical, regulatory, safety, and clinical pharmacology teams, you will design robust clinical trials and analyses to shape development decisions and regulatory strategy. You will drive methodological innovation and mentor colleagues.   Key Responsibilities (include..): • Provide statistical support to Projects across Oncology pipeline. • Review and contribute to statistical analysis plans, protocols and regulatory submissions. • Work with cross-functional teams to translate statistical insight into program strategy. • Mentor and coach statisticians to build capability and quality. • Manage statistical design, analysis and interpretation for clinical programs across development phases using a wide range of statistical approaches. • Use simulations and advanced statistical methodology to inform trial design and risk assessment.     Location:   GSK HQ London or Stevenage.   Please Note: If the successful applicant is based at Stevenage site: This role will temporarily be based at Stevenage.  However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company.  The relocation is currently proposed to take effect by early 2029.     About You: Strong experience in statistical design and analysis is a pre-requisite for the role. You must also be accomplished in communicating/explaining complex statistical concepts (tools/models) to a wide range of cross-functional team members and operating partners. The role has considerable focus on providing problem-solving solutions.   About GSK: At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.  Find out more - our approach to R&D:  https://www.gsk.com/en-gb/innovation/     APPLICATION CLOSING DATE – Monday 2 nd of November 2026 (COB).     Basic Qualifications: • Advanced degree in Statistics, Biostatistics or related quantitative discipline with significant relevant post-graduate experience (ideally in oncology) within the pharmaceutical industry or a clinical research setting. • Proven track record contributing statistical expertise to early and/or late phase clinical development. • Practical experience implementing simulations and statistical methods using R, Python (or similar tools). • Clear written and verbal communication skills for explaining methods and results to non-statistical colleagues. • Strong organisation and time management across multiple projects and deadlines.   Preferred Qualifications: • PhD in Statistics, Biostatistics, or closely related field. • Experience with clinical trial designs • Experience with Bayesian methods, adaptive trial designs, and advanced modelling. • Experience mentoring small technical teams. • Experience preparing re

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