Computational Biologist

Highlights

• Evaluate frontier AI risks to stop misuse for bioweapon development.
• Design robust evaluations quantifying how models could uplift malicious actors.
• Shape CBRNE safety policy for Gemini within DeepMind's frontier AI team.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

A PhD-trained computational biologist fascinated by AI safety who wants to prevent frontier models from enabling biothreats while preserving scientific utility.

Requirements

• PhD in Computational Biology, Bioinformatics, Biochemistry, Microbiology or related field
• Experience applying computational tools, biological modeling and command-line scripts to protein biochemistry, microbiology or pathogenic systems
• Experience working with biological datasets such as genomics, proteomics and structural biology
• Experience evaluating emerging technologies and assessing biorisk or misuse scenarios
• Experience with peer-reviewed contributions and cross-functional teams
• Experience supporting a secure, global research environment
• Experience in AI safety, evaluations, red-teaming or applied AI research
• Knowledge of biological weapons threat landscape, mitigations and stakeholders
• Familiarity with agentic AI and its applicability to frontier risk in biology
• Understanding of Safety Frameworks in AI
• Active security clearance or eligibility to obtain one