Staff Software Engineer – Data Team (Menlo Park CA) #4433

Responsibilities

• Design and implement software systems that turn raw clinical lab and operational data into reliable analysis-ready datasets
• Partner with scientists clinicians lab operations and data teams to understand data generation transformation and usage needs
• Develop services libraries data models and workflow components that enforce data integrity access control and compliance by design
• Navigate complex data requirements such as schema evolution blinding consent and privacy compliance
• Collaborate on cross-functional initiatives involving data quality testing strategy monitoring and operational excellence
• Lead software engineering efforts for long-lived systems that must evolve alongside active clinical and research programs
• Mentor engineers and collaborate with scientists to ensure software decisions support both technical and scientific outcomes
• [Contribute to documentation onboarding materials and processes that support cross-functional adoption and data literacy across teams]
• [Participate in incident response or investigation processes related to data quality or availability issues in production systems]


These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.

Required Qualifications

• 7+ years of experience building production-grade software systems
• Strong software engineering fundamentals including system design data modeling API design and writing well-tested production code.
• Experience building and operating data-intensive software systems not just declarative pipelines or SQL-only workflows
• Proficiency in Go or Python (or similar general-purpose language)
• Experience with data modeling validation and transforming real-world data into usable formats
• BS in Computer Science Engineering or Bioinformatics or a related field or equivalent practical experience

Preferred Qualifications

• 2+ years experience working in regulated or clinical data environments (e.g. HIPAA CLIA GCP FDA compliance)
• Direct experience working with or supporting scientific teams (e.g. bioinformatics wet lab clinical research)
• Experience designing systems that manage laboratory or bioinformatics data (e.g. LIMS sequencing pipelines assay metadata)
• Familiarity with GxP practices and regulatory reporting requirements in clinical studies is a plus
• Prior experience working in biotech diagnostics or life sciences companies
• Experience supporting sample tracking structured scientific data pipelines or cross-functional data lifecycle management
• Experience designing systems with data sequestration permissioning or privacy controls
• Experience writing or contributing to software libraries shared tooling or reusable components used by other teams
• Advanced degree (MS or PhD) in computer science engineering bioinformatics or a related discipline

What We Do

GRAIL is a healthcare company whose mission is to detect cancer early when it can be cured. GRAIL is using the power of high-intensity sequencing population-scale clinical studies and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology and to develop and commercialize pioneering products.

Why Work With Us

Everything we do is guided by our mission to detect cancer early when it can be cured. It’s the reason we’re here and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge contribute their skills inspire each other and commit to something bigger than themselves.

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