Scientist, Biomarker Analysis
By Admin · Research & Development (Lab & Science)
ROLE OVERVIEW
Amgen's Scientist, Biomarker Analysis role in Hyderabad is a strategic addition to the Global Development - Precision Medicine organization, specifically within Computational Biology and Translational Analytics. As Amgen expands its India innovation footprint, this position will deliver high-quality clinical biomarker analytics across oncology, inflammation, rare disease, cardiovascular/metabolic, and obesity programs. The scientist will transform complex multi-omics, imaging, and clinical trial data into actionable translational insights that inform target engagement, patient stratification, mechanism validation, and benefit-risk decisions. This is a compelling opportunity for a quantitative biologist to work at the interface of drug development, advanced statistics, and responsible AI, influencing global portfolio decisions while helping build a high-impact precision medicine capability at Amgen India. The role offers deep scientific ownership, cross-functional collaboration, and exposure to late-stage clinical programs.
ROLE DEFINITION & RESPONSIBILITIES
- •Design and execute biomarker and translational analyses supporting target engagement, pharmacodynamic modeling, patient stratification, mechanism validation, and benefit-risk assessment.
- •Develop analytical workflows for multi-modal clinical data: bulk/single-cell genomics, transcriptomics, proteomics, metabolomics, epigenomics, spatial omics, and imaging.
- •Translate biological questions into quantitative analysis plans, statistical models, and computational frameworks that generate actionable program insights.
- •Integrate internal trial data with external omics, real-world data, and literature knowledge to contextualize findings and inform strategy.
- •Contribute to portfolio-level analyses and cross-asset learnings through data mining, visualization, and knowledge discovery.
- •Partner with biologists, clinicians, assay scientists, and data engineers to ensure analytical rigor and data quality.
- •Communicate analytical approaches, assumptions, limitations, and conclusions to global matrixed stakeholders via reports and presentations.
- •Leverage AI responsibly to enhance speed, accuracy, and insightfulness, integrating relevant public-domain findings.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Doctorate with 3+ years, Master's with 5+ years, or Bachelor's with 7+ years in computational biology, bioinformatics, or related quantitative field.
- PhD or equivalent in Bioinformatics, Computational Biology, Statistics, Applied Mathematics, Computer Science, Data Science, or closely related discipline.
- Proven experience analyzing complex, large-scale biological and clinical datasets, including multi-modal and longitudinal data.
- Strong statistical modeling: regression, mixed-effects models, multivariate methods, correlative/causal analysis, and biomarker frameworks.
- Proficiency in R and Python, version control (GitLab), and reproducible research; familiarity with tidyverse and Python data science ecosystems.
- Excellent English communication skills to explain complex analyses to non-computational stakeholders.
PREFERRED QUALIFICATIONS
- •Single-cell Genomics
- •Spatial Omics
- •Real-World Data Integration
- •Assay Development & Validation
- •Peer-reviewed Publication Record
REQUIRED VERIFIED SKILLS
COMPENSATION & REWARDS
ORGANIZATION CONTEXT & CULTURE
Amgen is a leading global biopharmaceutical company committed to unlocking the potential of biology for patients suffering from serious illnesses. It discovers, develops, manufactures, and delivers innovative human therapeutics, focusing on areas with high unmet medical needs such as oncology, cardiovascular disease, bone disease, and inflammatory diseases.
EXPECTED CAREER ROADMAP
APPLICATION ADVISORY
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