Research Scientist, Biomedical AI, DeepMind

Research Scientist, Biomedical AI, DeepMind _corporate_fare_ DeepMind _place_ Mountain View, CA, USA

• Minimum qualifications:
• + PhD in Computer Science, a related field, or equivalent practical experience. + One or more scientific publication submission(s) for conferences, journals, or public repositories.
• Preferred qualifications:
• + 2 years of coding experience. + 1 year of experience owning and initiating research agendas. + Experience working with biological or medical data modalities. + Experience developing or evaluating foundation models or LLMs. + Passion or experience with scientific research in any field of science.
• About the job
• In this role, the team develops foundation models and AI-driven discovery systems that uncover new therapeutic strategies and generate scientific insights.

This research directly shapes how we understand and treat cancer. As a Research Scientist, you will build AI models and AI-driven discovery systems to accelerate scientific discovery for cancer treatment. You will develop and evaluate foundation models on multimodal biological and medical data, design benchmarks grounded in scientific utility, and collaborate with academic and clinical partners to drive research with real-world health impact. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

• Responsibilities
• + Design, train, and evaluate AI models and LLMs on multimodal biological and medical data.

+ Develop computational pipelines and agentic workflows that enable researchers to generate, prioritize, and validate scientific hypotheses. + Develop benchmarks and evaluation frameworks that capture scientific utility and ML performance. + Work with internal and external collaborators, academic and clinical research partners on problems with real-world health impact. + Drive research from conception to publication. Report and present ideas, experimental results, and data analysis clearly and efficiently. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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com/eeo/ and https:

//careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.