Senior Scientist – Research Computational Biology (ARIA)
Amgen
Full-time
Remote friendly (United States)
United States
Clinical Research and Development
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Role Summary
Senior Scientist – Research Computational Biology (ARIA) at Amgen. Apply computational biology and data science expertise to accelerate identification, prioritization, and validation of therapeutic targets, in a cross-functional research environment.
Responsibilities
- Extract biological insight from multi-modal omics and screening data to characterize disease endotypes, identify targets and biomarkers, and test therapeutic hypotheses.
- Develop and leverage methods/platforms to discover, prioritize, and validate targets across diverse diseases and modalities.
- Collaborate with Amgen therapeutic area scientists on internal programs and external partnerships.
- Partner with data science and information systems teams to integrate ARIA Computational Biology analyses into integrated R&D platforms.
Qualifications
- Basic Qualifications:
- Doctorate in computational biology, bioinformatics, data science, or related field (with relevant post-doc if applicable)
- Or Master’s degree with 3 years of relevant research experience
- Or Bachelor’s degree with 5 years of relevant research experience
- Preferred Qualifications:
- Strong programming skills (Python, R, Linux/Unix), cloud computing, HPC, and collaborative coding (Git)
- Track record designing and implementing computational strategies for challenging questions
- Expertise in single-cell omics data analysis and interpretation
- Excellent presentation and communication skills
- Self-starter with collaborative mentality and growth mindset
- Background in cardiometabolic disease and/or immunology, with single-cell data interpretation
- Experience with transcriptional foundation models, LLMs, biomedical knowledge graphs
- Familiarity with public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, Tahoe-100M)
- Experience developing tools/pipelines to endpoints like interactive portals (RShiny), workflow systems (Nextflow), agentic frameworks
Skills
- Computational biology, data science, omics analyses
- Programming in Python and R; Linux/Unix environments
- Data integration and interpretation across multi-modal datasets
- Strong communication of complex findings
Education
- Doctorate or Master’s/Bachelor’s with relevant research experience as stated above