Senior Data Scientist - Computational Biology
Overview
GRAIL seeks a Senior Data Scientist to lead computational biology efforts focused on early cancer detection. This role develops methods to analyze genomic data and drive innovation in cancer diagnostics. The position combines machine learning with clinical genomics to shape next-generation detection products.
What You'll Do5
- 1Analyze complex high-dimensional datasets related to multi-cancer early detection test results from Grail’s commercial platform to identify empirical trends and communicate findings across teams
- 2Integrate cancer biology DNA methylation genomics epidemiology and statistics to generate predictive models of expected test performance and identify potential deviations
- 3Participate in cross-functional interactions with machine learning software engineering clinical laboratory operations research and product development teams
- 4Create and communicate rigorous scientific analyses
- 5Develop novel state-of-the-art methods and tools to monitor output of in-production multi-cancer classifier
Requirements5
- 1Ph.D. in Bioinformatics Data Science Computational Biology Physics Bioengineering Cancer Genomics Statistics with 2+ years of relevant experience
- 2Proven track record working with large-scale omics datasets in R preferred Python
- 3Experience with NGS data processing statistical modeling and machine learning frameworks applied to clinical settings
- 4Excellent communication collaboration and problem-solving skills ability to work independently
- 5Demonstrated ability to perform rigorous detail-oriented work
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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