Principal Scientist – Research Computational Biology
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Job Description
Computational Biologist in Amgen's ARIA team, applying expertise in data science to identify transformative therapeutic targets. Collaborating in dynamic, cross-functional research environments.
Responsibilities:
- 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
- Your scientific and technical leadership will help shape computational biology strategy across multiple discovery programs, influencing target selection, biomarker strategy, and translational hypotheses
- Driving extraction of 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
- Shaping roadmap priorities with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms
Requirements:
- Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable] and 2 years of computational biology experience
- Or Master’s degree and 5 years of computational biology experience
- Or Bachelor’s degree and 7 years of computational biology experience
- Strong research background in cardiometabolic disease and/or immunology
- Proven track record of driving programs or platforms that have materially impacted discovery or early development decisions
- Experience mentoring scientists and setting standards for computational best practices within a team
- 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
- 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)
- Experience developing and deploying tools and pipelines to endpoints such as interactive portals (e.g. RShiny, Streamlit), 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
- flexible spending accounts
- A discretionary annual bonus program
- stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models, including remote and hybrid work arrangements, where possible
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