About the role

Aplyr's Quick Take

This role is for a Senior Data Scientist focused on applying machine learning to genomics and clinical data for early cancer detection. You'll collaborate with a team of scientists and engineers to analyze data and develop innovative solutions, making this an individual contributor position with significant impact on cancer research.

Good fit

Ideal candidates have a strong background in data science, machine learning, and genomics, with several years of experience in a related field. A collaborative mindset and the ability to tackle complex problems in a healthcare context will help you thrive here.

Worth noting

The role requires a minimum of 40% on-site work, which may be a downside for those seeking fully remote options. The company is in a rapidly evolving field, which could offer unique opportunities for impactful work but may also come with high expectations and pressure.

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

GRAIL is seeking a Senior Data Scientist to join the Machine Learning team within the Computational Biology and Machine Learning (CBML) group. In this role, you will work at the intersection of machine learning, genomics, and clinical science to advance early cancer detection. You will collaborate closely with scientists, engineers, and clinicians to identify novel biological signals, improve classification performance, and develop innovative approaches for cancer detection and categorization using GRAIL’s rich sequencing datasets.

This is a highly impactful role where you will apply state-of-the-art machine learning techniques—including modern AI approaches—to real-world clinical challenges. Your work will directly contribute to scientific discoveries, peer-reviewed publications, and the development of transformative products for early cancer detection.

This is a hybrid role based in Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026). Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site.

Skills & Tags

go machine learning ai data product

Aplyr's read

GRAIL is at the forefront of healthcare innovation, leveraging genomic technology for early cancer detection, attracting talent in engineering, science, and market access.
Synthesized from recent postings & public sources

What's promising

•GRAIL's focus on early cancer detection addresses a critical need in healthcare.
•The company is backed by significant investment, supporting research and development.
•Recent hiring in diverse roles indicates growth and expansion in operations.

What to watch

•The biotechnology sector is highly competitive, with rapid technological advancements.
•Regulatory challenges in healthcare can impact timelines and product launches.
•GRAIL's success heavily depends on the accuracy and reliability of its technology.

Why GRAIL

•GRAIL uses cutting-edge genomic technology for non-invasive cancer detection.
•The company has a strong focus on integrating data science with healthcare.
•GRAIL's mission-driven approach attracts professionals passionate about impactful healthcare solutions.

Aplyr’s read is generated by AI from public sources. Was it useful?