Bioinformatics Data Scientist # 4740

GRAIL

Menlo Park, CA, United States
Hybrid (minimum 40% on-site)
Cancer genomics expertise
Omics data modeling
Statistical inference experience
GRAIL is seeking a Bioinformatics Data Scientist to analyze genomic and multi-omic datasets, contributing to early cancer detection innovations. The ideal candidate will have expertise in cancer genomics, statistical methods, and machine learning, and will work collaboratively in a multidisciplinary team environment

Job Summary

  • The company is dedicated to detecting cancer early when it can be cured by leveraging next-generation sequencing and population-scale clinical studies.
  • This role involves analyzing some of the world's largest genomic datasets to uncover biological signals and improve test performance for clinical applications.
  • The position offers a flexible work arrangement requiring a minimum of 40% on-site presence at the Menlo Park or Sunnyvale campus.

Matching Summary

Match Score: 85

GRAIL is seeking a Bioinformatics Data Scientist to analyze genomic and multi-omic datasets, contributing to early cancer detection innovations. The ideal candidate will have expertise in cancer genomics, statistical methods, and machine learning, and will work collaboratively in a multidisciplinary team environment.

Skills & Requirements

Must-have

  • cancer genomics expertise
  • omics data modeling
  • statistical inference experience
  • machine learning model development
  • multi-omic dataset analysis

Nice-to-have

  • cross-functional collaboration skills
  • clinical oncology application knowledge
  • next-generation sequencing background

Key Requirements

  • Strong expertise in cancer genomics
  • Practical experience in statistical inference
  • Machine learning model development skills

Work Rights

Not specified

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