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Strong employer brand but niche biomarker specialization and seniority reduces candidate density.
Highly specialized translational biomarker and clinical trial experience limits transferability across industries.
Explicit seniority alternatives, domain expertise, and reproducible coding requirements enforce stringent screening.
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Develop and execute biomarker and translational analyses across Amgen’s clinical trial portfolio to support target engagement, stratification, pharmacodynamic modeling, and benefit-risk assessment.
Integrate and analyze complex multi-modal clinical datasets (multi-omics, imaging, metadata) to generate actionable insights for early and late-stage drug development programs.
Collaborate globally with biologists, clinicians, assay scientists, and data engineers to ensure analytical rigor, scientific relevance, and effective communication of findings across time zones.
PhD with 3+ years, or Master’s with 5+ years, or Bachelor’s with 7+ years of relevant scientific experience.
Expertise in analyzing large-scale biological and clinical datasets including multi-modal and longitudinal data using statistical modeling methods.
Proficiency in programming with R and Python, including version control (e.g., gitlab), and reproducible research practices.
Work Experience Required: Minimum 3+ years supporting drug development in biotech or pharmaceutical settings.
Demonstrated end-to-end ownership of translational or biomarker analyses that influenced clinical development decisions.
Strong applied statistical and computational biology expertise with experience in complex, ambiguous environments of global pharmaceutical organizations.
Capable of effective collaboration and communication across global, matrixed teams and able to flexibly operate across time zones supporting clinical programs.