Job Description & How to Apply Below
Join GRAIL as a Data Scientist focused on early cancer detection, based in Menlo Park, California. Engage with advanced genomic datasets and contribute to transforming cancer care.
The Senior Data Scientist will be a vital part of GRAIL’s Computational Biology team, working at the intersection of machine learning and clinical genomics. Responsibilities include analyzing large-scale genomic data and developing models to ensure effective cancer detection technologies. This role uniquely combines scientific research with real-world application.
Key Responsibilities:
• Analyze high-dimensional datasets related to detection tests
• Create predictive models integrating biology and statistics
• Work with interdisciplinary teams on data-driven projects
• Present scientific findings to internal stakeholders
Requirements:
• Ph.D. in Bioinformatics, Data Science, or related field with 2+ years experience
• Experience handling large omics datasets in R or Python
• Knowledge of NGS and machine learning techniques
• Proven communication and teamwork skills
• Meticulous with a strong analytical mindset
Drive forward GRAIL’s mission to revolutionize cancer detection through impactful data science methodologies.
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