Research Scientist

Google Inc.; Greater London; Hybrid; GBP 153,000 - 222,000; Full time

Benefits offered by this job

Equity

Bonus target (20%)

Benefits

Job summary

Google DeepMind seeks a Share Research Scientist to accelerate development and clinical deployment of frontier multimodal AI medical assistant and co-clinician systems. You will advance research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally.

Our team blends deep learning and reinforcement learning to tackle high-impact medical challenges, with a focus on safe, scalable AI for real-world health outcomes and partnerships with

Qualifications

• PhD in Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
• 4 years of experience in LLM fine-tuning/Reinforcement Learning, autonomous and human-on-loop agent development, and designing evaluation frameworks for real-world applications.
• Experience providing technical leadership to execute research from concept to product.
• Experience with clinical and healthcare workflows, data, and environments.
• Experience partnering with vendors for data and rubric curation in real-world domains, and generating synthetic data and rubrics.

Responsibilities

• Implement experiments across model training and system harness to advance a state-of-art AI co-clinician.
• Drive research on clinical reasoning and longitudinal disease management, reliable agentic action-taking and automation, and verifiable risk management with continual adaptation.
• Define milestones and build simulation-to-real evaluation frameworks measuring clinical capability, safety, and efficiency.
• Validate hypotheses in-silico and in-vivo with precise clinical evaluations, partner with domain experts for real-world prospective validation.
• Collaborate closely with fellow researchers and help build and scale the long-term research team.

Skills

Outcome ownership

Decision making

Ambiguity handling

Stakeholder influence

Education

PhD in CS/AI or related field

Tools

LLM fine-tuning

Reinforcement learning

Evaluation frameworks

Job description

corporate_fare Google place London, UK ; Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Research Scientist

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Mountain View, CA, USA.

• PhD in Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
• 4 years of experience in LLM fine-tuning/Reinforcement Learning, autonomous and human-on-loop agent development, and designing evaluation frameworks for real-world applications.
• Experience providing technical leadership to execute research from concept to product.
• Experience with clinical and healthcare workflows, data, and environments.
• Experience partnering with vendors for data and rubric curation in real-world domains, and generating synthetic data and rubrics.

Preferred qualifications:

• Experience building agentic benchmarks involving reasoning-driven API read/write, computer control, or healthcare record integrations
• Experience with training agents for long-horizon tasks, computer control, domain safety, uncertainty calibration, and human-on-the-loop systems.
• Experience in full-lifecycle LLM development, deploying autonomous/human-on-loop agents in safety-critical real-world environments.
• Track record of publishing in AI venues (e.g., NeurIPS, ICML, ICLR), or scientific/medical journals (e.g., Nature).

About the job

Our special interdisciplinary team combines the best techniques from deep learning and reinforcement learning to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine, and we have all the ingredients in place to make further significant progress over the coming years to real world impact.

In this role, you will accelerate the development and clinical deployment of our frontier multimodal AI medical assistant and co-clinician systems. You will drive forward research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally (spanning key collaborations with world-leading researchers and clinicians in the US, EMEA and APAC).

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Our special interdisciplinary team combines the best techniques from deep learning and reinforcement learning to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine, and we have all the ingredients in place to make further significant progress over the coming years to real world impact.

In this role, you will accelerate the development and clinical deployment of our frontier multimodal AI medical assistant and co-clinician systems. You will drive forward research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally (spanning key collaborations with world-leading researchers and clinicians in the US, EMEA and APAC).

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Implement experiments across both model training and system harness to advance a state-of-art AI co-clinician.
• Drive research on clinical reasoning and longitudinal disease management, reliable agentic action-taking and automation, and verifiable risk management with continual adaptation.
• Define milestones and build simulation-to-real evaluation frameworks measuring clinical capability, safety, and efficiency.
• Validate hypotheses in-silico and in-vivo with precise clinical evaluations, partner with domain experts for real-world prospective validation.
• Collaborate closely with fellow researchers and help build and scale the long-term research team.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.