Senior BXDS (Bioinformatics and Data Scientist)

Work in the machine learning team within GRAIL's Bioinformatics and Data Science organization working on post-diagnosis cancer classification. Collaborate as a team member to monitor the dynamics of disease burden and to characterize disease biology with a focus on the post-diagnostic setting. Work with interdisciplinary scientists, clinicians, engineers, and external collaborators to build new diagnostic products to support pharmaceutical development and cancer patient care. Develop disease detection models using advanced machine learning and statistical methods. Lead end-to-end development of the model including data processing, analysis, model iteration, as well as helping to translate the model to a product. Demonstrate knowledge of machine learning and statistics to craft, develop, and improve computational tools. Design, execute, and own analyses of large, complex genomics datasets using machine learning and statistical methods to generate biological insights. Interact cross-functionally and work closely with teams including software engineering, clinical, laboratory operations, research, and product development. Collaborate to design, analysis, and m of experiments with external collaborators. Create and communicate rigorous scientific analyses. Minimum Requirements: A Doctorate degree in Bioinformatics, Bioengineering, Computer Science, Statistics, or a related field (or foreign equivalent) and one (1) year of experience in the job offered, or in a related occupation. Special Requirements: Special Requirements: Must have one (1) year of experience in each of the following skills: Machine Learning; Statistics; Bioinformatics; Software Engineering; Experience in Python and Go programming languages; Experience in software life cycle including designing, developing, testing, and maintaining software; and Genetics. Employment and background checks may be required. Contact: Qualified applicants must send resumes to Must reference job code: 99782162. Proof of authorization to work in U.S. is required if hired. The company is an Equal Opportunity Employer and fully supports affirmative action practices.