Bioinformatics Data Scientist # 4740

We are seeking a Data Scientist with strong expertise in cancer genomics and omics data modeling to help us drive the next wave of innovation in early cancer detection.

In this role, you will analyze some of the world’s largest and richest genomic and real-world datasets to uncover biological signals, model cancer biology, and identify genomic features that improve test performance. You will apply cutting-edge statistical and machine learning methods to extract biological insights from complex multi-omic datasets and translate them into actionable improvements and new products for clinical oncology applications.

The ideal candidate combines deep knowledge of cancer genomics with practical experience in statistical inference and machine learning model development. You will work cross-functionally with computational biologists, assay scientists, machine learning and data engineers, and clinical experts to accelerate innovation, strengthen test performance, and discover cancer biology.

This role is based in Menlo Park, California, and will move to Sunnyvale, California, in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.