Staff Software Engineer (Lab Technology) #4907

GRAIL; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Annual bonus plan

Long-term incentive plan

Job summary

GRAIL, a healthcare company pioneering early cancer detection, is seeking a Staff Software Engineer for the Data Team in London. You will own systems that produce trusted, analysis-ready datasets across research and clinical programs, delivering data with integrity and compliance.

You will work in a hybrid environment, collaborating with scientists, clinicians, and data engineers to design scalable data pipelines and production-grade services that advance cancer research while meeting regulatory

Qualifications

• 7+ years of experience building production-grade software systems.
• Strong fundamentals: system design, data modeling, API design, and well-tested production code.
• Experience building data-intensive software systems, not just pipelines or SQL-heavy work.
• BS in Computer Science, Engineering or Bioinformatics, or equivalent practical experience.

Responsibilities

• Design and implement software systems turning raw clinical, lab, and operational data into reliable, analysis-ready datasets.
• Partner with scientists, clinicians, lab operations, and data teams to understand data needs.
• Develop services, libraries, data models, and workflows enforcing data integrity and privacy-by-design.
• Navigate schema evolution, blinding, consent, and privacy compliance in complex data regimes.
• Collaborate on data quality, testing strategy, monitoring, and operational excellence.
• Lead long-lived systems that evolve with clinical and research programs.
• Mentor engineers and collaborate with scientists to align technical and scientific goals.
• Contribute to documentation and onboarding to support cross-functional data literacy.
• Participate in incident response related to data quality or availability in production systems.

Skills

Go

Python

Data-intensive systems

System design

API design

Production-grade software

Education

BS in Computer Science, Engineering or Bioinformatics, or related field

Job description

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 asoftware engineering rolefocused on building complexproduction-grade systemsthat 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 withresearch, 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 operatingdata-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 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 [e-mail] to request an accommodation associated with your application for an open position.

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