Senior Data Scientist #4887

GRAIL is seeking a Senior Data Scientist to join the Computational Biology team, working on multi-cancer early detection using genomic datasets. The role involves developing methods to monitor and improve the performance of in-production machine learning classifiers. This is an opportunity at the intersection of machine learning and clinical genomics to impact early cancer detection.

• Analyze complex high-dimensional datasets from commercial multi-cancer early detection tests
• Integrate cancer biology, DNA methylation, genomics, epidemiology, and statistics to generate predictive models
• Participate in cross-functional interactions with machine learning, software engineering, clinical, and research teams
• Create and communicate rigorous scientific analyses

• Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or related field with 2+ years experience
• Proven track record in working with large-scale omics datasets in R or Python
• Experience with NGS data processing, statistical modeling, and machine learning frameworks in a clinical setting
• Excellent communication, collaboration, and problem-solving skills