Principal Scientist – Computational Biology & Translational AI; Oncology Precision Medicine

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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. Amgen is advancing a broad and deep pipeline and portfolio of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

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.

Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine)

Let’s do this. Let’s change the world.

The Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Principal Scientist with deep expertise in modern AI (Generative AI and Agentic AI), multi-modal data integration, combined with strong foundation in clinical biomarkers and translational science.

This role focuses on
pan‑asset forward and reverse translation
, designing and deploying AI‑enabled analytical and agentic systems that connect preclinical, translational, and clinical data to drive mechanistic understanding, biomarker hypotheses, and development strategy across oncology programs.

In this vital role you will:

• Lead
  pan‑asset forward and reverse translational analyses
  , integrating preclinical, translational, and clinical data to generate mechanistic insight, biomarker hypotheses, and development‑relevant evidence.
• Design and deploy
  Generative AI and Agentic AI systems
  that support hypothesis generation, evidence synthesis, and cross‑modal reasoning across discovery, translation, and clinical development.
• Develop
  multi‑agent, tool‑using AI workflows
  that integrate structured and unstructured data (omics, imaging, pathology, clinical data, literature) to accelerate translational insight generation.
• Apply modern statistical and AI‑enabled approaches to
  connect molecular mechanisms, biomarkers, and clinical phenotypes
  , supporting indication strategy, patient stratification concepts, and learning across assets.
• Drive
  reverse translation
  by systematically linking clinical observations back to molecular and biological hypotheses using multimodal data and AI‑assisted reasoning frameworks.
• Analyze and integrate
  multi‑modal translational data
  (e.g., genomics/transcriptomics, proteomics, epigenomics, single‑cell, imaging, pathology, clinical endpoints) to support forward and reverse translational learning across oncology assets.
• Build and maintain
  AI‑enabled, reproducible translational analysis pipelines
  , including integration with agentic systems and automated insight‑generation workflows.
• Partner with biology, assay, pathology, and clinical teams to
  contextualize and interpret translational signals
  , rather than owning routine assay delivery.
• Represent CfTI in Amgen program and portfolio teams as a translational science and AI thought leader, contributing AI‑enabled forward and reverse translational insight across assets.
• Communicate results clearly to clinical and scientific stakeholders and contribute to translational and biomarker strategy, regulatory-facing analyses (as needed), and reverse translation learning.

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

Basic Qualifications:

• Doctorate degree and 2 years of scientific/biopharma experience

OR

• Master’s degree and 5 years of…