GRAIL

HQ
Menlo Park
Total Offices: 3
918 Total Employees
Year Founded: 2016

GRAIL Company Culture: Innovative, Passionate Determined

Cancer is one of the most deadly diseases in the United States, sometimes only making itself known when the window for the most effective treatments has passed. But it doesn't always have to be that way — and GRAIL’s team wants to ensure people are alerted to their diagnoses earlier than ever. Armed with cutting-edge machine learning technology, mountains of data, staggering computing power and a lot of grit, employees are equipped with the tools they need to transform the lives of cancer patients and their families, today and in the future. But no one person can do it alone, which is why collaboration, cross-functional teams and open communication aren’t just nice-to-haves. They’re deeply embedded in the DNA of every GRAIL employee.

At a glance

STATE-OF-THE-ART SCIENCE

A test that identifies 50 types of cancer, all through one blood draw.

VALUES THAT RUN DEEP

To prepare us for the greatness we know we can achieve, we’re redefining the culture that creates the foundation for everything we do.

FLEXIBLE TIME OFF

Work-life balance as a priority.

HOLISTIC TEAM SUPPORT

Winner of Built In’s “Best Places To Work” for the last 5 years.

Recently posted jobs

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Provide strategic legal and compliance counsel across commercial, clinical, and corporate functions; lead and enhance the global compliance program; advise on healthcare laws (Anti-Kickback, False Claims Act, EKRA, anti-corruption); draft and negotiate compliance provisions; run risk assessments, monitoring, audits, and investigations; develop policies, training, and scalable compliance controls.
4 Days AgoSaved
Hybrid
Sunnyvale, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Maintain and improve Bazel-based build workflows and CI/CD pipelines to boost developer experience and reliability. Own build performance, remote caching/execution, test sharding, and tooling for a multi-language monorepo. Build internal automation, diagnose CI flakiness, support container and Python packaging workflows, and collaborate with developers, researchers, and platform teams to accelerate delivery.
4 Days AgoSaved
Hybrid
Sunnyvale, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Lead and scale a global Data Platform engineering team to deliver a cloud-native, serverless microservices data platform. Define architecture and roadmaps for petabyte-scale data processing, AI/LLM-enabled features (RAG), high-throughput ETL, and secure REST APIs while ensuring CI/CD, DevOps, cost optimization, and regulatory compliance (HIPAA/GDPR).