Bioinformatics Staff Data Scientist # 4768

GRAIL • Menlo Park, CA

1d • Hybrid

About The Position

GRAIL is seeking a Staff Data Scientist to join the Computational Biology team. In this role you will work with population-scale genomic datasets from our on-market commercial product and first-in-class clinical studies to model real-world interactions between technical, biological and clinical factors that underlie current test performance and gain insights into future innovations. You will be developing novel, state-of-the-art methods and tools that will be used to monitor the output of our in-production multi-cancer classifier. Your work will be critical to the success of a new generation of cancer detection products by defining the parameters that ensure a high level of classifier performance over time. The team works cross-functionally across Grail to connect the knowledge behind our advanced cancer detection technology with the clinical variables that define real-world usage as the product scales to large scale adoption. The position is an exciting opportunity at the intersection of machine learning and clinical genomics to support GRAIL’s mission to detect cancer early, when it can be cured.

Requirements

• Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or a related field with 5+ years of relevant experience
• Proven track record in working with large-scale omics datasets in R (preferred) or Python.
• Experience with NGS data processing, statistical modeling, and machine learning frameworks and their application to derive technical and biological insights in a clinical setting
• Excellent communication, collaboration, and problem-solving skills; ability to work independently and effectively across interdisciplinary environments.
• Demonstrated ability to perform rigorous and detail-oriented work.

Nice To Haves

• Knowledge of cancer epigenetics, cancer biology, tumor genetics, and molecular mechanisms of oncogenesis
• Experience with traditional ML and modern AI techniques
• Track record of scientific contributions (e.g., publications, tools, datasets, patents, or conference presentations)
• Proficiency in Python or R, with experience in modern data science workflows (Linux, Git, reproducible pipelines, etc…)
• Interest in translating research innovations into production-ready systems

Responsibilities

• Analyze complex high-dimensional datasets related to multi-cancer early detection test results from Grail’s commercial platform in order to identify empirical trends and then communicate findings across teams.
• Integrate cancer biology, DNA methylation, genomics, epidemiology, and statistics to generate predictive models of expected test performance and identify potential deviations.
• Participate in cross-functional interactions with interdisciplinary teams including machine learning, software engineering, clinical, laboratory operations, research, and product development.
• Create and communicate rigorous scientific analyses.

Benefits

• flexible time-off or vacation
• a 401(k) retirement plan with employer match
• medical, dental, and vision coverage
• carefully selected mindfulness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees