Senior Data Scientist – Perturbation Biology

Amgen Inc

Not specified; not specified; not specified
8-13 years directly related experience
Advanced computational biology background
Machine learning and deep learning expertise
This role involves developing advanced computational and AI/ML methods to analyze perturbation screening data within Amgen's ARIA organization

Job Summary

  • This role involves developing advanced computational and AI/ML methods to analyze perturbation screening data within Amgen's ARIA organization.
  • The successful candidate will collaborate with experimental biologists to ensure computational predictions align with biological context and drive therapeutic hypothesis generation.
  • The position requires a senior data scientist with a deep theoretical understanding of AI/ML and causal learning paired with molecular biology expertise.

Matching Summary

This role involves developing advanced computational and AI/ML methods to analyze perturbation screening data within Amgen's ARIA organization.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 8-13 years directly related experience
  • Advanced computational biology background
  • Machine learning and deep learning expertise
  • Functional genomics and perturbation screens
  • Python or R scientific programming proficiency

Nice-to-have

  • Experience with single-cell omics technologies
  • Generative AI and transformer-based architectures
  • Familiarity with agentic AI approaches
  • Track record of innovative algorithm development
  • Strong cross-functional collaboration skills

Key Requirements

  • 8-13 years of directly related experience
  • Degree in relevant field required
  • Proven track record in functional genomics

Work Rights

Not specified

Tailored Resume

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