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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications: - PhD in Virology or equivalent practical experience in post-doctoral, clinical, or industry experience.
- 15 years of experience working with high-consequence biological pathogens within a national security, defense, or biosecurity context.
- Experience translating scientific or threat data into summaries for senior leadership and non-technical decision-makers.
- Experience in wet-lab virology, working within BSL-3 or high-containment BSL-2 environments.
- Experience analyzing the challenges of dual-use research of concern (DURC), biological weapons frameworks, and the global stakeholder landscape.
Preferred qualifications: - Experience designing novel science evaluations, red-teaming protocols, or threat-modeling frameworks for emerging technologies.
- Experience utilizing or evaluating Large Language Models (LLMs) or biological foundation models.
- Comfort with technical infrastructure, command-line tools, or basic coding elements to interface effectively with AI research engineers.
- Active engagement with ongoing national security or international biosecurity working groups.
- Interest in AI safety frameworks, tech policy, and the ethics of frontier technologies.
Responsibilities - Synthesize, "roll up," and clearly communicate complex technical risk data to senior stakeholders, C-suite executives, and policy leaders with clarity and authority.
- Integrate ongoing scientific community insights regarding biological pathogens to ensure our safety frameworks reflect real-world threat vectors.
- Shape Google DeepMind's broader biosecurity mitigation strategies, ensuring safety guardrails protect against genuine misuse without bottlenecking legitimate scientific innovation.
- Partner closely with Research Scientists, Engineers, and ethics experts to embed biosecurity protocols directly into the model development lifecycle.
- Refine and directly execute advanced biology evaluations to pressure-test frontier AI models against biological threats.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $307000 - $428000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
