GRAIL

HQ
Menlo Park, California, USA
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

01

STATE-OF-THE-ART SCIENCE

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


02

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.


03

FLEXIBLE TIME OFF

Work-life balance as a priority.


04

HOLISTIC TEAM SUPPORT

Winner of Built In’s “Best Places To Work” for the last 4 years.


Recently posted jobs

YesterdaySaved
Hybrid
Menlo Park, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Senior Director, Market Access will lead strategies to ensure payer coverage, engage with stakeholders, and manage a market access team to expand product access and adoption.
2 Days AgoSaved
Hybrid
Menlo Park, CA, USA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Senior Clinical Data Manager leads data management activities for clinical studies, ensuring data accuracy and integrity while collaborating with cross-functional teams.
2 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.