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Open nowFirst seen 2 hours ago

Biologist, DeepMind

Google3,292 open roles

Where
Mountain View, CA, USA; New York, NY, USA
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Your applicationOpen nowBiologist, DeepMindGoogle · Mountain View, CA, USA; New York, NY, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 33.9%30 days
This job: first seen 2 hours ago

Google median: 26 days open

The posting

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

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

Learn more about benefits at Google.

Responsibilities

  • 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.
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