GRAIL
Senior Data Scientist #4887
Menlo Park, CA · Senior · Full-time
Sponsorship not specified$156k-$187kDetected 14 days ago
PythonGitLinuxMachine LearningData ScienceStatisticsClinical TrialsBioinformaticsNGSResearchCommunicationCollaborationProblem SolvingPublic SpeakingEpidemiology
About the role
- 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.
- 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.
Responsibilities
- Create and communicate rigorous scientific analyses.
Requirements
- Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or a related field with 2+ years of relevant experience
- ability to work independently and effectively across interdisciplinary environments.
Nice to have
- 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
- This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire
- the actual compensation offered may vary depending on factors such as the candidate's qualifications.
- and carefully selected mindfulness programs.
Compensation
- The expected, full-time, annual base pay scale for this position is 156K - $187K.
Benefits
- Participate in cross-functional interactions with interdisciplinary teams including machine learning, software engineering, clinical, laboratory operations, research, and product development.
- 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.
This listing is sourced directly from GRAIL's careers page and normalized into a canonical job model.