Principal Scientist Research Computational Biology; ARIA

Join Amgen's Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives.

Our award‑winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Let’s do this. 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.

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a computational biologist with these qualifications.

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 Masters degree and 5 years of computational biology experience OR Bachelors degree and 7 years of computational biology experience.

• Strong research background in cardiometabolic disease and/or immunology, including mechanistic characterization of disease biology using multi‑modal single‑cell data.
• 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.
• Ability to integrate portfolio‑level business context into research strategy.
• 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. Dep Map, Human Cell Atlas, TCGA, GTEx, and Tahoe‑100M) frequently used to augment analyses of internally generated data.
• Experience…