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, 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.