Biologist, DeepMind

DeepMind Technologies Limited

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

46 hours ago
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Job summary

DeepMind Technologies Limited in Mountain View, CA seeks a biologist/microbiologist Subject Matter Expert for the CBRNE team. The role focuses on model-assisted development and dissemination of harmful biological agents and dual-use entities, serving as a technical expert within the Responsible Frontier AI Research (RFAIR) team.

The successful applicant will be hired as a Research Scientist, providing expert input on evaluation frameworks and mitigations for frontier AI models used in biology.

Qualifications

  • PhD in wet-lab virology, microbiology, biology, or related field or equivalent practical experience.
  • 3 years of wet-lab experience with dual-use research, consequence pathogens, or biological toxins.
  • Experience across microbiology, virology, host-pathogen interactions, etc., evidenced by publications or equivalent.
  • Experience applying biosecurity and biosafety concepts, incl. misuse scenarios.
  • Experience utilizing AI models to analyze and mitigate biological risks.
  • Experience in cross-functional collaboration and communicating to global audiences.

Responsibilities

  • Test, evaluate, and mitigate harmful capabilities of frontier AI models in biology.
  • Design, develop, and execute biology evaluations, frameworks, and red-teaming strategies.
  • Collaborate with CBRNE/responsibility engineers to balance safety and scientific utility.
  • Partner with experts in CBRN, AI ethics, policy, and safety.
  • Support development of Google’s CBRNE safety policy and communicate risks and mitigations.

Skills

PhD in biology
Wet-lab experience
Biology/virology knowledge
Biosecurity concepts
AI safety awareness
Cross-functional collaboration
Scientific communication

Education

PhD in biology/virology
Experience with dual-use research

Tools

Command line tools
Coding

Job description

Minimum 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, consequence pathogens, or biological toxins.
  • Experience across microbiology, virology, host-pathogen interactions, protein biochemistry, or immunology, evidenced by peer-reviewed publications or equivalent.
  • Experience applying biosecurity and biosafety concepts, including identifying misuse scenarios of emerging technologies.
  • Experience utilizing LLMs or narrow-use AI models to analyze and mitigate biological risks.
  • Experience in cross-functional collaboration and delivering written and verbal technical communications to global audiences.
Preferred qualifications
  • Experience working in AI safety, evaluations, red-teaming, or applied AI research at a national laboratory, academic institution, or industry setting.
  • Experience in using command line tools or coding.
  • Knowledge of biological weapons, the biological threat landscape, potential mitigations and awareness of relevant stakeholders.
  • Knowledge of the intersection of microbiology/virology within AI safety.
  • Understanding of Safety Frameworks in AI.
  • Active security clearance, or the eligibility to obtain and maintain one.
About the job

Google’s CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. We would like to invite applications from qualified biologists/microbiologists for the position of a biologist/microbiologist Subject Matter Expert (SME) in the CBRNE team within the Responsible Frontier AI Research (RFAIR) team, joining SMEs with broad experience across biology.

The successful applicant will be hired for a Research Scientist position serving as a technical expert, specifically focusing on model assistance in the acquisition, development and dissemination of harmful biological agents and other dual use entities.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • 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 communicate complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders.

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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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