GSK
Clinical Biomarker Lead- Oncology Translational Medicine
$151K–$252K
USA - Pennsylvania - Upper Providence +2 · Hybrid (Remote & On-site) · Full-time · Posted Aug 31, 2026
- Location
- USA - Pennsylvania - Upper Providence
USA - Massachusetts - Waltham
Stevenage - Experience
- Ph.D. or equivalent with 3+ years, or M.Sc with 7+ years, of drug development experience.
- Education
- Ph.D. or equivalent, or M.Sc.
About the job
Leads oncology translational biomarker strategy and collaborative projects to support clinical trials and guide clinical development decisions.
What you'll do
- Design and manage internal and external projects to develop biomarker capabilities and generate data for clinical trials.
- Develop and implement biomarker strategies using scientific and technological advances to guide indication selection, patient enrichment, and combination strategies.
- Coordinate cross-functional biomarker projects and contribute to data reviews, reports, presentations, and scientific publications.
What they ask for
- Ph.D. or equivalent with 3+ years, or M.Sc with 7+ years, of drug development experience in the pharmaceutical industry; preferably in oncology biomarker development.
- Experience with biomarker assays, technologies, platforms, and providers, including implementation of platforms such as flow cytometry, NGS, FISH, PCR, and/or IHC/IF in oncology clinical trials.
- Experience designing and executing translational biomarker strategies in oncology clinical trials, including assay development, validation, sample testing plans, and clinical deployment.
- Experience delivering clinical biomarker analyses and data packages, managing partner deliverables, timelines, contracts, and budgets, and working to GCP/GLP principles.
Nice to have
- Experience with high-dimensional dataset analysis.
- Experience with digital pathology, AI/ML-enabled biomarker analyses, and external scientific partnerships.
Pay
$150,975 to $251,625 (USD, annual base salary)
Tools
flow cytometry, NGS, FISH, PCR, IHC/IF, GCP/GLP, AI/ML
AI focus
Experience with AI/ML-enabled biomarker analyses is preferred.
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