Senior Data Engineer

Role Overview

• Partner with scientists and statisticians to support efficient and accurate capture, transfer, and aggregation of sample information and analysis results through GRAIL’s analysis systems.
• Become proficient in GRAIL’s system architecture, including primarily GRAIL’s LIMS for laboratory data; Electronic Data Capture (EDC) for clinical study data; the Bioinformatics Pipeline for sequence analysis and cancer classification data; and TidyData, the system that aggregates, packages, and serves datasets created from LIMS, EDC, and Pipeline outputs.
• Collaborate with software engineers and scientists to develop requirements and produce analysis-ready datasets for clinical research and product development.
• Develop code and procedures to support dataset generation, perform QC, and troubleshoot issues that arise during dataset generation.
• Collect requirements, develop prototypes, and collaborate on production implementations of new reporting, data visualization, and statistical analysis features as needed.
• Learn analysis requirements by reading laboratory protocols, Statistical Analysis Plans, and other analysis planning documents and meeting with scientists, biostatisticians, and other stakeholders.
• Demonstrate a consistent commitment to delivering on team goals with a sense of shared urgency.
• This is a hybrid role based in either Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026) or Durham, NC. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site.

Requirements

• BS with 5+ years of related experience or MS with 3+ years of related experience in a computatonal or scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.)
• Strong proficiency in R or Python programming
• Comfort working across the full data stack — from ingestion and transformation to orchestration and visualization
• Excellent interpersonal communication (written and verbal) and organizational skills
• Team player with demonstrated success in a cross-functional environment
• Experience using a system-level programming language like Go, Java or C++
• Understands basic concepts of molecular biology
• Familiarity with AI-assisted coding or data workflows
• Experience with Amazon Web Services
• Proficiency in SQL development and data warehousing concepts

Tech Stack

• AWS
• Java
• Python
• SQL
• Go

Benefits

• flexible time-off or vacation
• 401(k) retirement plan with employer match
• medical, dental, and vision coverage
• carefully selected mindfulness programs