In this role, you will analyze some of the largest, richest biological datasets in the world to find biological signals and patterns and guide our assays, bioinformatic pipelines, and product strategies. Working closely with scientists, clinicians, and engineers, you will develop inference to investigate the biology of cell free nucleic acid tumor biology and how that relates to classification performance. You will execute statistical analyses operating across GRAIL’s data sets, public data, and data from collaborators in academia and industry. Your analyses will result in exciting discoveries in cancer biology, impactful publications, and products for early detection of cancer. You Will:
- Modeling and analysis of large, complex genomics datasets using machine learning and statistical methods to generate biological insights.
- Perform end-to-end analysis that include data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
- Interact cross-functionally with other teams including software, clinical, operations, research, product development, and external collaborators.
- Promulgate analyses that reinforce scientific rigor and quality and which maintain GRAIL’s statistical culture.