Technical CBRN-E Threat Investigator at Anthropic

Hybrid - Remote-Friendly (Travel-Required), San Francisco, CA, Washington, DC

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Anthropic is seeking a Technical CBRN‑E Threat Investigator to join our Threat Intelligence team. In this role, the candidate will detect, investigate, and disrupt the misuse of Anthropic’s AI systems for chemical, biological, radiological, nuclear, and explosive threats. The position combines AI safety with CBRN security, requiring deep expertise in chemical defense or biodefense, proficiency in SQL and Python, and experience with threat intelligence. Candidates will develop detection capabilities, produce intelligence reports, collaborate with policy teams, and engage with government and external stakeholders.

Salary

USD 230,000 - 290,000

Requirements

Skills

  • Deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern, synthetic biology, or related CBRN-E threat domains
  • Proficiency in SQL and Python for data analysis and threat detection
  • Experience with threat actor profiling and utilizing threat intelligence frameworks
  • Hands‑on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats
  • Excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners
  • Ability to present analytical work to both technical and non‑technical audiences, including government stakeholders and senior leadership

Responsibilities

  • Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment
  • Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors
  • Develop CBRN-E‑specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual‑use research concerns
  • Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems
  • Conduct cross‑platform threat analysis grounded in real threat actor behavior, open‑source research, and publicly reported programs
  • Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions
  • Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities
  • Inform safety‑by‑design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN‑E purposes

Technologies

SQLPythonLarge language modelsThreat intelligence frameworksData analysis and threat detection tools

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