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

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Hybrid
Menlo Park, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The role involves developing and executing corporate communications strategies, managing media relations, and translating complex information for external audiences to advance the company's mission.
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Hybrid
Menlo Park, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Director of Customer Service oversees the call center organization, aligning customer service strategies with corporate objectives, managing teams, budgets, and ensuring compliance while driving customer loyalty and operational efficiency.
YesterdaySaved
Hybrid
Menlo Park, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Senior Data Scientist will apply machine learning to improve cancer detection, collaborating across teams to analyze genomic data and develop innovative solutions.