{"id":2041778,"url":"https://alion.io/job/google-deepmind-biologist","title":"Biologist","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":176000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":483},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false}],"status":"live","first_seen_at":"2026-10-07T16:41:59Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-08T21:41:10Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nGoogle’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.\nArtificial 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nTest, evaluate, and mitigate harmful capabilities of frontier AI models in the biology domain.\nDesign, 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.\nCollaborate 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.\nPartner with experts in various fields of CBRN, science, AI ethics, policy, and safety.\nSupport 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.\nQualifications\nMinimum qualifications:\nPhD in wet-lab virology, microbiology, biology, or a related field, or equivalent practical experience.\n3 years of wet-lab experience with dual-use research, consequence pathogens, or biological toxins.\nExperience across microbiology, virology, host-pathogen interactions, protein biochemistry, or immunology, evidenced by peer-reviewed publications or equivalent.\nExperience applying biosecurity and biosafety concepts, including identifying misuse scenarios of emerging technologies.\nExperience utilizing LLMs or narrow-use AI models to analyze and mitigate biological risks.\nExperience in cross-functional collaboration and delivering written and verbal technical communications to global audiences.\nPreferred qualifications:\nExperience working in AI safety, evaluations, red-teaming, or applied AI research at a national laboratory, academic institution, or industry setting.\nExperience in using command line tools or coding.\nKnowledge of biological weapons, the biological threat landscape, potential mitigations and awareness of relevant stakeholders.\nKnowledge of the intersection of microbiology/virology within AI safety.\nUnderstanding of Safety Frameworks in AI.\nActive security clearance, or the eligibility to obtain and maintain one.","description_format":"text","description_chars":3725,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Foundation Models","AI Research Labs","AI for 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