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Biologist, DeepMind

Google· DeepMind
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London, UKFull-timePosted 2w ago

About the role

Biologist/virologist SME role in Google DeepMind's Responsible Frontier AI Research (RFAIR) team within the CBRNE group, focused on evaluating and mitigating safety risks of frontier AI models in the biology domain.

Responsibilities

  • Be responsible to test, evaluate, and mitigate harmful capabilities of frontier AI models in the biology domain.
  • Design, develop and execute biology evaluations, assessments, frameworks, and red-teaming strategies to test the capability, safety, and uplift of AI models and support the development of mitigations.
  • Collaborate with CBRNE/Responsibility engineers to ensure blocks on harmful outputs without overly degrading the model's scientific utility, requiring a deep understanding of dual use science.
  • Partner with experts in various fields of CBRN, science, AI ethics, policy and safety.
  • Support the ongoing development and refinement of Google’s CBRNE safety policy, and clearly communicating complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders.

Qualifications

  • PhD in Wet-Lab Virology, Microbiology, Biology, or a related field, or equivalent practical experience.
  • 3 years of wet-lab experience with dual-use research, high-consequence pathogens, or biological toxins.
  • Experience utilizing LLMs or narrow-use AI models to analyze and mitigate biological risks.
  • Authored peer-reviewed publications across microbiology, virology, host-pathogen interactions, protein biochemistry, or immunology.

Skills

Required:Virology / Microbiology knowledgeRed-teaming / model evaluationBiosecurity conceptsAI safety policy familiarity
Nice to have:Command-line tools / coding (desirable)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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