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

As a Data Engineer on the Operational Technology team, you will build and maintain the data pipelines that connect GRAIL's lab instruments, automation systems, and operational platforms to a trusted, well modeled data foundation. You will own well scoped ingestion and transformation pipelines end to end, partnering with systems engineers, lab operations, data scientists, and automation engineers to keep data flowing reliably from the lab floor to the analytics and AI systems that depend on it. This is a hands-on role for an engineer who is ready to take ownership of real data infrastructure and grow quickly in a fast paced, regulated environment. Expect to work alongside a talented and highly motivated team that moves quickly.

This role is based on-site in RTP, North Carolina, Monday through Friday. The position participates in an on-call rotation and may occasionally require weekend or holiday support for production incidents, maintenance, or critical deployments.