Google DeepMind Research Scientist Job 2026: Apply for AI for Science and Medicine Research in Mountain View, California

Overview

Google DeepMind has opened an informal expression-of-interest pathway for full-time Research Scientist roles focusing on AI for Science and Medicine. Based in Mountain View, California, this research opportunity aims to unite advanced artificial intelligence with complex biological, medical, and scientific challenges.

The opportunity is targeted at researchers who want to move beyond purely theoretical work and build AI systems capable of accelerating scientific discovery, exploring molecular interactions, and supporting healthcare advances. While this initial pathway uses an informal interest form managed by the research team to gauge mutual fit, formal recruitment and evaluations take place through official channels.

Eligibility

Open to researchers at various career stages, ranging from those who have just completed or are about to complete a PhD to experienced professionals.
Requires strong backgrounds in artificial intelligence, machine learning, deep learning, computational biology, bioinformatics, biomedical engineering, cancer research, or scientific computing.
Candidates should possess a research record, including a strong Google Scholar profile and a representative research publication.
No explicit nationality restrictions are stated in the announcement, though applicants must consider work location and authorization requirements for Mountain View, California.

Benefits

Opportunity to work within a world-renowned frontier AI organization alongside interdisciplinary teams of computer scientists, biologists, and medical researchers.
Exposure to complex, open-ended research problems with potential real-world scientific and societal impact.
Access to large-scale computational infrastructure and a collaborative international research community.

How to Apply

Interested candidates can submit their information through the informal Google Form interest form. The application process requires the following items:

Full name and current academic or professional institution and role.
A CV or resume in PDF format (maximum size of 10 MB).
Links to your Google Scholar profile, plus a personal website or LinkedIn profile.
Indication of your post-PhD or industry experience level.
A description of your specific research interests within AI for Science, AI for Medicine, biomedical AI, computational biology, or cancer biology.
A link to one representative research publication along with a brief explanation of why you selected it.
A statement explaining your motivation for the role and what unique perspective you bring.

Applicants are strongly advised to verify official postings and submit formal applications through the official Google DeepMind careers channels.

Deadline

There is no specific application deadline stated for this opportunity.

Overview

Eligibility

Open to researchers at various career stages, ranging from those who have just completed or are about to complete a PhD to experienced professionals.

Requires strong backgrounds in artificial intelligence, machine learning, deep learning, computational biology, bioinformatics, biomedical engineering, cancer research, or scientific computing.

Candidates should possess a research record, including a strong Google Scholar profile and a representative research publication.

No explicit nationality restrictions are stated in the announcement, though applicants must consider work location and authorization requirements for Mountain View, California.

Benefits

Opportunity to work within a world-renowned frontier AI organization alongside interdisciplinary teams of computer scientists, biologists, and medical researchers.

Exposure to complex, open-ended research problems with potential real-world scientific and societal impact.

Access to large-scale computational infrastructure and a collaborative international research community.

How to Apply

Interested candidates can submit their information through the informal Google Form interest form. The application process requires the following items:

Full name and current academic or professional institution and role.

A CV or resume in PDF format (maximum size of 10 MB).

Links to your Google Scholar profile, plus a personal website or LinkedIn profile.

Indication of your post-PhD or industry experience level.

A description of your specific research interests within AI for Science, AI for Medicine, biomedical AI, computational biology, or cancer biology.

A link to one representative research publication along with a brief explanation of why you selected it.

A statement explaining your motivation for the role and what unique perspective you bring.

Applicants are strongly advised to verify official postings and submit formal applications through the official Google DeepMind careers channels.