[Hiring] Senior Scientist – Research Computational Biology @1001 Amgen Inc.

Role Description

The ARIA Computational Biology team is seeking a talented and creative computational biologist to further our mission of serving patients by advancing and replenishing the Amgen therapeutic pipeline. In this role you will apply your expertise in data science and disease biology to accelerate the identification, prioritization, and validation of transformative therapeutic targets in a dynamic cross-functional research environment.

• Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses.
• Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities.
• Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships.
• Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms.

Qualifications

• Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
• Or Master’s degree and 3 years of relevant research experience
• Or Bachelor’s degree and 5 years of relevant research experience

Requirements

• Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git).
• Track record of designing and implementing creative and holistic computational strategies to address challenging research questions.
• Demonstrated expertise in the analysis and interpretation of single cell omics data.
• Excellent presentation and communication skills to convey complex findings to diverse audiences.
• Self-starter with a collaborative mentality and a drive for continuous growth.
• Strong background in cardiometabolic disease and/or immunology, including application to the interpretation of single-cell data.
• Experience leveraging and fine-tuning transcriptional foundation models, LLMs, and biomedical knowledge graphs to further research goals.
• Familiarity with public data resources (e.g. DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) frequently used to augment analyses of internally generated data.
• Experience developing and deploying tools and pipelines to endpoints such as interactive portals (e.g. RShiny apps), workflow management systems (e.g Nextflow), and agentic frameworks.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models, including remote and hybrid work arrangements, where possible.