Senior Data Scientist # 4630

GRAIL

Menlo Park, CA, United States
Hybrid (minimum 40% on-site)
Machine learning techniques
Next-generation sequencing (ngs)
State-of-the-art computer science
GRAIL is seeking a Senior Data Scientist to join its Machine Learning team, focusing on advancing early cancer detection through innovative applications of machine learning and genomics. The role requires collaboration across disciplines to improve classification performance using extensive sequencing datasets, with a minimum on-site work requirement of 40%

Job Summary

  • Our mission is to detect cancer early, when it can be cured.
  • In this role, you will work at the intersection of machine learning, genomics, and clinical science to advance early cancer detection.
  • Your work will directly contribute to scientific discoveries, peer-reviewed publications, and the development of transformative products for early cancer detection.

Matching Summary

Match Score: 85

GRAIL is seeking a Senior Data Scientist to join its Machine Learning team, focusing on advancing early cancer detection through innovative applications of machine learning and genomics. The role requires collaboration across disciplines to improve classification performance using extensive sequencing datasets, with a minimum on-site work requirement of 40%.

Skills & Requirements

Must-have

  • Machine learning techniques
  • Next-generation sequencing (NGS)
  • State-of-the-art computer science
  • Data science
  • Genomics and clinical science

Nice-to-have

  • Collaborate closely with scientists
  • Modern AI approaches
  • Scientific discoveries
  • Peer-reviewed publications
  • Transformative products

Key Requirements

  • Senior Data Scientist role
  • Minimum 40% on-site work
  • Hybrid role

Work Rights

Not specified

Tailored Resume

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