Principal Scientist – Computational Biology & Translational AI (Oncology

Lifelancer
Thousand Oaks, CA
Category Research
Job Description
Amgen is seeking a Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine) to lead pan‐asset forward and reverse translational analyses, integrating preclinical, translational, and clinical data to generate mechanistic insight, biomarker hypotheses, and development‐relevant evidence. The role requires expertise in modern AI (Generative AI and Agentic AI), multi-modal data integration, combined with strong foundation in clinical biomarkers and translational science.

Requirements

  • Doctorate degree, PhD, PharmD or MD and 2 years of computational Biology experience
  • Master’s degree and 5 years of computational Biology experience
  • Bachelor’s degree and 7 years of computational Biology experience
  • PhD in Bioinformatics, Mathematics, Statistics, Computer Science, Computational Biology, Data Science, or related field, with a strong foundation in biology and translational science.
  • Demonstrated expertise in forward and/or reverse translational science, linking molecular mechanisms, biomarkers, and clinical outcomes across discovery and development.
  • Hands‐on experience developing Generative AI and/or Agentic AI systems applied to scientific reasoning, hypothesis generation, or evidence synthesis.
  • Experience integrating multi‐modal data (omics, imaging, pathology, clinical, text/literature) using AI‐enabled or model‐based approaches.
  • Strong understanding of AI system evaluation, interpretability, and scientific reliability in decision‐critical environments.
  • Working knowledge of clinical biomarker platforms and translational readouts, enabling effective collaboration with assay and clinical teams.
  • Demonstrated experience generating translational and biomarker insights that influenced clinical development decisions (e.g., indication strategy, trial design, stratification, or mechanistic understanding).
  • Strong programming experience in R and/or Python, with experience integrating AI/LLM‐driven components into reproducible analysis workflows (version control, workflow orchestration, documentation).
  • Familiarity with modern data and analytics infrastructure supporting scalable, auditable AI systems in clinical research environments.
  • Ability to work effectively in a highly matrixed environment and drive scientific and technical innovation collaboratively across functions.
  • Strong written and oral communication skills, self-motivation, independence, and scientific leadership.

Benefits

  • 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
  • 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
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