Biologist, DeepMind

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, 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. 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.

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.