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GRAIL is a healthcare company pioneering early cancer detection using next-generation sequencing and advanced data science. This Senior Data Scientist role involves analyzing complex, high-dimensional datasets from the company's commercial multi-cancer detection platform to identify empirical trends, build predictive models, and communicate findings across interdisciplinary teams. What You'll Do • Analyze complex high-dimensional datasets related to multi-cancer early detection test results to identify empirical trends • Integrate cancer biology, DNA methylation, genomics, epidemiology, and statistics to generate predictive models of test performance • Participate in cross-functional interactions with machine learning, software engineering, clinical, laboratory operations, research, and product development teams • Create and communicate rigorous scientific analyses across the organization • Translate research innovations into production-ready systems What You Need • Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry, or related field • 2+ years of relevant experience working with large-scale omics datasets • Proficiency in Python or R with experience in modern data science workflows including Linux, Git, and reproducible pipelines • Experience with NGS data processing, statistical modeling, and machine learning frameworks applied in clinical settings • Excellent communication, collaboration, and problem-solving skills with demonstrated ability to work independently across interdisciplinary environments Nice to Have • Knowledge of cancer epigenetics, cancer biology, tumor genetics, and molecular mechanisms of oncogenesis • Experience with traditional machine learning and modern AI techniques • Track record of scientific contributions such as publications, tools, datasets, patents, or conference presentations • R language proficiency (in addition to or instead of Python)