Staff Data Engineer

GRAIL is focused on improving lives by developing pioneering technologies to detect cancer early. As a Staff Data Engineer, you will help manage the end-to-end data lifecycle, ensuring data integrity, reliability, and compliance in a regulated environment. You will work closely with cross-functional teams including lab scientists, data scientists, biostatisticians, medical directors, and software engineers to create critical datasets and data solutions that drive our product pipeline.

Your responsibilities will include:

• Leading the design, development, and optimization of scalable ETL pipelines and data configurations
• Collaborating with various teams to understand and address data needs for clinical trials, research studies, and regulatory submissions
• Ensuring data integrity, traceability, and quality through robust validation procedures
• Identifying new technologies and methodologies to address evolving data management challenges
• Managing metadata, data navigation tools, and documentation
• Supporting study operations by structuring datasets to meet clinical, scientific, and regulatory milestones

The ideal candidate will have:

• BS/MS in a quantitative scientific field with 8+ years of experience in data engineering
• Strong understanding of ETL processes, data pipeline development, and database management
• Expertise in SQL and Python or R
• Experience with cloud-based data platforms and compliance frameworks
• Excellent problem-solving skills and ability to work in cross-functional teams

This hybrid role requires you to be onsite at least 2 days a week in Menlo Park, CA. Join GRAIL and contribute to groundbreaking cancer detection technologies while working with cutting-edge data solutions in a regulated biotechnology environment.