GRAIL - Staff Software Engineer – Data Team (Menlo Park, CA) #4433
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Requirements
• 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 • 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 • Expected full time annual base pay scale for the bay area is $163K-$216K. Actual base pay will consider skills, experience and location. • This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
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]
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