**
GRAIL is seeking a Staff Data Scientist to support early cancer detection initiatives using population-scale genomic datasets. The role involves developing innovative methods to improve the performance of cancer detection classifiers and requires a strong background in computational biology and machine learning.
**
Job Summary
The role involves developing state-of-the-art methods to monitor the output of a multi-cancer classifier using population-scale genomic datasets.
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 that define real-world usage.
Matching Summary
Match Score: 75
**
GRAIL is seeking a Staff Data Scientist to support early cancer detection initiatives using population-scale genomic datasets. The role involves developing innovative methods to improve the performance of cancer detection classifiers and requires a strong background in computational biology and machine learning.
**