Staff Software Engineer (Lab Technology) #4907

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 \n Based on

the role, colleagues may be eligible to participate in an annual

bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time. We are an equal employment opportunity employer and we are committed to building a workplace where every individual can thrive, contribute, and grow. We do not discriminate on the basis of race, sex, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us! We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law. We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other

benefits and privileges of employment. Please contact us at [email protected] to request an accommodation associated with your application for an open position. Privacy Notice for UK Applicants

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