GRAIL

Senior Data Scientist

GRAIL

full-time

Posted on:

Location Type: Hybrid

Location: Menlo ParkCaliforniaUnited States

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Tech Stack

About the role

  • Envision, design, and lead projects to evaluate and improve machine learning classifier performance for cancer detection
  • Collaborate cross-functionally with scientists, engineers, and clinicians to plan, execute, and interpret experiments
  • Develop high-quality, reproducible, and scalable software aligned with sound engineering principles
  • Apply best practices in machine learning and statistics to generate robust, interpretable, and reliable results
  • Analyze large-scale sequencing and genomics datasets to extract meaningful biological insights
  • Contribute to the development and evaluation of novel machine learning methods, including deep learning approaches
  • Communicate findings and present updates regularly in technical and cross-functional forums
  • Contribute to scientific publications, internal tools, and production systems

Requirements

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Machine Learning, or a related field with 2+ years of relevant experience, OR M.S. with 4+ years of relevant experience, OR B.S. with 6+ years of relevant experience, or equivalent practical experience
  • 2+ years of experience applying machine learning or statistical modeling in a research or production environment
  • Strong expertise in data analysis using Python or R
  • Deep understanding of modern machine learning and statistical methods
  • Experience developing reproducible, well-structured code in a collaborative environment
  • Strong written and verbal communication skills
Benefits
  • flexible time-off or vacation
  • 401(k) retirement plan with employer match
  • medical, dental, and vision coverage
  • carefully selected mindfulness programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningstatistical modelingdata analysisPythonRdeep learningsoftware developmentgenomicsbioinformaticscomputational biology
Soft Skills
collaborationcommunicationleadershipproblem-solvingpresentation skillsinterpersonal skillsorganizational skillscritical thinkingadaptabilityteamwork