Senior Data Scientist # 4630

GRAIL is seeking a Senior Data Scientist to join the Machine Learning team within the Computational Biology and Machine Learning group. The role involves applying machine learning and modern AI techniques to sequencing data for early cancer detection. This is a hybrid position based in Menlo Park, CA.

• Envision, design, and lead projects to evaluate and improve machine learning classifier performance for cancer detection
• Collaborate cross-functionally with scientists, engineers, and clinicians
• Develop high-quality, reproducible, and scalable software
• Apply best practices in machine learning and statistics
• Analyze large-scale sequencing and genomics datasets
• Contribute to development of novel ML methods, including deep learning
• Communicate findings and present updates
• Contribute to scientific publications, internal tools, and production systems

• Ph.D. in a related field with 2+ years experience, or M.S. with 4+, or B.S. with 6+
• 2+ years applying machine learning or statistical modeling
• Strong expertise in Python or R
• Deep understanding of modern machine learning and statistical methods
• Experience developing reproducible, well-structured code