GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured.
The Role
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 Menlo Park, 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 processes patient blood samples in factory-like laboratories to detect cancer. Engineering teams are tasked with building software and hardware to automate, analyse and streamline many processes in the lab. Additionally, Operations need metrics and insights into how things are running so that they can be improved. The data for some of these metrics have historically been built by Analysts within Operations. These are now moving under Software Engineering and we are building a team to support, stabilize and enhance these pipelines
We will hire candidates for this hybrid role in either Menlo Park, CA or Durham, NC.
Responsibilities
- Be a part of a highly collaborative team focused on delivering value to cross-functional partners by designing, deploying, and automating secure, efficient, and scalable data infrastructure and tools—reducing manual efforts and streamlining operations.
- Help model Grail data to ensure it follows FAIR principles (Findable, Accessible, Interoperable, and Reusable).
- Drive the design, deployment, and automated delivery of data infrastructure, standardized data models, datasets, and tools.
- Integrate automated testing and release processes to improve the quality and velocity of software and data deliveries.
- Collaborate with cross-functional teams—ranging from Research to Clinical Lab Operations to Software Engineering—to provide comprehensive data solutions from conception to delivery.
- Ensure all software and data meet high standards for quality, clinical compliance, and privacy.
- Mentor fellow engineers and scientists, promoting best practices in software and data engineering.
Preferred Qualifications
- B.S. / M.S. in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Physics, Computational Biology) with 8+ years of related industry experience, or Ph.D. with at least 5 years of related industry experience or equivalent.
- Extensive experience developing with relational databases, data modeling principles, data pipeline tools, and workflow engines (e.g., SQL, DBT, Apache Airflow, AWS Glue, Spark).
- Extensive experience with DevOps practices, including CI/CD pipelines, containerized deployment (e.g., Kubernetes), and infrastructure-as-code (e.g., Terraform).
- Experience supporting data science and machine learning data pipelines, preferably in the context of biological data analysis and using Python.
- Ability to embrace uncertainty, navigate ambiguity, and collaborate with product teams and stakeholders to refine requirements and drive toward clear engineering objectives and designs.
- You are a strong written and verbal communicator and can adapt your communication style and the level of detail to your audience.
Expected full time annual base pay scale for the bay area is $163K-$216K. Actual base pay will consider skills, experience and location.
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.
In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings.
GRAIL is an Equal Employment Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can 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 to request accommodation. GRAIL maintains a drug-free workplace.
What the Team is Saying
Neda Ronaghi
Strategy and Operational Excellence Associate Director
Ruth Mauntz
Staff Bioinformatics Scientist
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Tristan Matthews
Senior Director, Software Engineering
David Jenions
Principal Automation Engineer
Satnam Alag
SVP, Software Engineering
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GRAIL Compensation & Benefits Highlights
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Healthcare Strength — Multiple medical plan options, comprehensive medical/dental/vision coverage, and strong mental health programs are described, with employer HSA contributions up to $3,000 for the HDHP. These elements indicate a well‑rounded health offering.
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Leave & Time Off Breadth — Flexible time off is highlighted, with examples of unlimited/FTO policies working well in practice. Paid holidays and company winter breaks further support time away from work.
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Equity Value & Accessibility — New‑hire equity grants that vest over four years and a discounted Employee Stock Purchase Plan are positioned as meaningful parts of total compensation. Ongoing eligibility for additional equity is also noted.
GRAIL Insights
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The Company
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.
Gallery
GRAIL Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
GRAIL has a variety of work types depending on the roles. Some roles are onsite like a lab role, some are fully remote like our Galleri Sales Consultant roles. Others are hybrid with 2-3 days onsite. Typically Tuesday and Thursday.
Typical time on-site:
2 days a week
