Overview
In this role, you advance AI-enabled biosecurity research to mitigate biological threats. You will drive research across biology and AI, shaping the roadmap and delivering insights to technical and non-technical stakeholders. You synthesize complex findings into actionable reports and presentations, and collaborate with cross-functional teams to translate research into responsible tools. A key focus is evaluating risks of specialized science models and contributing to policy-aligned mitigation strategies.
Responsibilities
- Contribute to AI and biosecurity research that supports publications and product development
- Synthesize research findings into clear reports and presentations for diverse audiences
- Shape the research roadmap by identifying critical technical gaps
- Design and implement mitigation strategies addressing biosecurity risks of specialized science models
- Engage with the broader biosecurity community through internal and external engagements (conferences, workshops, working groups)
- Set up large-scale experiments and prototype implementations to test ideas
- Publish findings and collaborate with partner universities and institutes
- Assess and mitigate biosecurity risks to ensure responsible release of tools from DeepMind’s Science unit
Key requirements
- PhD in Virology, Microbiology, Infectious Diseases, or related field or equivalent practical experience
- Experience with biosecurity topics (e.g., metagenomic surveillance, de novo pathogen design, LLM-based uplift)
- Experience implementing core ML/AI concepts
- Experience in genomics and computing solutions
- Experience publishing biosecurity research
- Collaborative and cross-functional teamwork
- Ability to communicate complex concepts clearly to technical and non-technical audiences
- Adaptability in dynamic and ambiguous environments
- Core ML/AI concepts
- Genomics and computing solutions
- Metagenomic surveillance (conceptual)
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