Google

Runs Search and YouTube and builds Gemini AI

Research Scientist - Biology, CBRNE

Natural Language Processing & LLMsConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

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

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 AI models' capability, safety, and uplift, and support the development of mitigations.
Collaborate with CBRNE and Responsibility engineers to block harmful outputs without overly degrading the model's scientific utility, applying a deep understanding of dual-use science.
Partner with experts in CBRN, science, AI ethics, policy, and safety.
Support the ongoing development and refinement of Google's CBRNE safety policy.
Clearly communicate complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders.
Serve as a technical expert evaluating and mitigating safety risks of frontier AI models, primarily but not limited to large language models, in the biology domain, particularly model assistance in acquiring, developing, and disseminating harmful biological agents and other dual-use entities.

Desired Qualifications

Experience working in AI safety, evaluations, red-teaming, or applied AI research at a national laboratory, academic institution, or industry setting.
Experience using command-line tools or coding.
Proven application of biosecurity and biosafety concepts, including identifying misuse scenarios of emerging technologies.
Knowledge of biological weapons challenges, the biological threat landscape, potential mitigations, and relevant stakeholders.
Knowledge of the intersection of microbiology and virology within AI safety and AI safety frameworks.
Active security clearance or eligibility to obtain and maintain one.

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.

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, 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.

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.
Proven application of biosecurity and biosafety concepts, including identifying misuse scenarios of emerging technologies.
Knowledge of challenges of biological weapons, the biological threat landscape, potential mitigations and awareness of relevant stakeholders.
Knowledge of the intersection of microbiology/virology within AI safety and Safety Frameworks in AI.
Active security clearance, or the eligibility to obtain and maintain one.

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.

You will work as a Research Scientist, serving as a technical expert responsible for evaluating and mitigating safety risks of frontier AI models (primarily but not limited to LLMs) in the biology domain; specifically, 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 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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