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

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

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

Principal Scientist – Research Computational Biology

Key skills