Bioinformatics Data Scientist # 4740

Grail

Menlo Park, CA, United States
Not specified; not specified; not specified
Hybrid (minimum of 40% on-site)
Cancer genomics expertise
Omics data modeling
Statistical inference experience
Grail is seeking a Bioinformatics Data Scientist with expertise in cancer genomics and omics data modeling to advance innovations in early cancer detection. The role involves analyzing large genomic datasets and applying statistical and machine learning methods to improve test performance in clinical oncology applications

Job Summary

  • The company is pioneering new technologies to advance early cancer detection using next-generation sequencing and population-scale clinical studies.
  • You will analyze some of the world's largest genomic datasets to uncover biological signals and translate them into actionable improvements for clinical oncology.
  • This role offers a flexible work arrangement requiring a minimum of 40% on-site presence at the Menlo Park campus.

Matching Summary

Match Score: 85

Grail is seeking a Bioinformatics Data Scientist with expertise in cancer genomics and omics data modeling to advance innovations in early cancer detection. The role involves analyzing large genomic datasets and applying statistical and machine learning methods to improve test performance in clinical oncology applications.

Salary

Not specified; Not specified; Not specified

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
  • Experience in machine learning model development

Work Rights

Not specified

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