AWSJavaPythonSQLGoC++CRAIData WarehousingStatistical AnalysisAmazon Web ServicesCommunication
About this role
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