Scientist, Biomarker Analysis
Core
Design and execute rigorous biomarker and translational analyses using complex, high-dimensional clinical datasets to support drug development decisions across Amgen's global portfolio.
Role type
Senior IC biomarker analysis scientist (computational biology)
Builds
Translational insights and quantitative analysis plans for early and late-stage clinical development programs
Domain
Pharmaceutical / Precision Medicine / Multi-omics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling (regression, mixed-effects, multivariate), multi-omics data analysis (NGS, transcriptomics, proteomics, metabolomics, spatial omics), R, Python, version control (GitLab), clinical trial data integration, machine learning/AI application to biological data
Preferred skills
Bioinformatics or computational biology PhD, experience with clinical biomarker platforms (flow cytometry, IHC, immunoassays), reproducible research practices, peer-reviewed publication record, experience in large global pharma organizations
Technologies
R, Python, GitLab, tidyverse
Responsibilities
Design and interpret biomarker analyses for target engagement and patient stratification; Develop analytical workflows for bulk and single-cell genomics and imaging data; Translate biological questions into statistical models and computational frameworks; Integrate internal trial data with external omics and real-world data; Contribute to portfolio-level data mining and visualization; Partner with biologists, clinicians, and data engineering teams; Communicate analytical approaches and conclusions to global stakeholders
Seniority
Senior, hands-on IC with scientific independence
