Staff Software Engineer (Lab Technology) #4907

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

GRAIL is seeking a Staff Software Engineer for the Data Team. This team designs, builds, and operates the software systems that manage GRAIL’s end-to-end data lifecycle, from sample ingestion through downstream analysis, while meeting rigorous clinical, regulatory, and privacy standards. Our work directly supports clinical research, operations, and decision-making in the fight against cancer.

In this role, you will take technical ownership of systems that produce trusted, analysis-ready datasets for use across GRAIL’s research and clinical programs. This is a software engineering role focused on building complex production-grade systems that work with data in dynamic, regulated environments as opposed to assembling off-the-shelf ETL tools or writing SQL heavy pipelines,.This position offers significant autonomy and scope for impact. You’ll collaborate closely with research, clinical lab operations, and scientific teams, and lead efforts to improve how we structure, validate, and deliver critical scientific and clinical data.

You will normally be working a hybrid of remote and office based, with no less than 3 days in the office (Mon, Wed and an additional day in office); when you are working out of our London office, you will be based at 210 Euston Road, London, NW1 2DA, in line with company needs.

Responsibilites

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

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 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.

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