Minimum qualifications:

• PhD in virology or equivalent practical experience.
• 2 years of postdoctoral or clinical experience spanning pathogenic viruses, bacteria, or agriculture.
• 2 years of experience applying biosecurity principles to evaluate the intersection of microbiology and AI safety, including Large Language Model (LLM) risk assessments.
• Experience identifying and documenting misuse scenarios for emerging technologies.
• Experience delivering technical presentations or reports, and translating data for cross-functional stakeholders.

Preferred qualifications:

• Experience in clinical wet lab virology and working in BSL-2 labs (or higher).
• Experience in using command line tools and coding.
• Knowledge of the issues with Dual Use Biology.
• Knowledge of issues of biological weapons, potential mitigations and awareness of relevant stakeholders.
• Understanding of Safety Frameworks in AI. Knowledge of the Biological Weapons Convention. An interest in the ethics and safety of AI systems, and in AI policy.
• Actively leveraged AI tools to accelerate research pipelines or safety benchmarks by a measurable margin.

About the job

Artificial 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.

Responsibilities

• Design, develop and execute biology evaluations to test the safety of AI models.
• Drive the development and delivery of harm frameworks and mitigation strategies.
• Communicate results to relevant teams and decision-makers.
• Collaborate with experts in various fields of science, AI ethics, policy and safety.