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Grail is seeking a Staff Data Scientist to join their Computational Biology team in Menlo Park, CA, focused on utilizing genomic datasets to enhance cancer detection technologies. The role involves developing innovative methods to monitor multi-cancer classifiers and requires a blend of machine learning and clinical genomics expertise.
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Job Summary
The role involves developing state-of-the-art methods to monitor the output of a multi-cancer classifier using population-scale genomic data.
This position sits at the intersection of machine learning and clinical genomics to support the mission of detecting cancer early when it can be cured.
The team works cross-functionally across Grail to connect advanced cancer detection technology with clinical variables defining real-world usage.
Matching Summary
Match Score: 75
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Grail is seeking a Staff Data Scientist to join their Computational Biology team in Menlo Park, CA, focused on utilizing genomic datasets to enhance cancer detection technologies. The role involves developing innovative methods to monitor multi-cancer classifiers and requires a blend of machine learning and clinical genomics expertise.
**
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
population-scale genomic datasets
machine learning model development
next-generation sequencing analysis
clinical genomics expertise
Nice-to-have
cross-functional team collaboration
innovative cancer detection technology
real-world clinical variable integration
Key Requirements
Staff level experience in Data Science
Expertise in computational biology or bioinformatics