Senior / Principal Computational Biologist, AI Safety

What you'll do

• Develop and run original computational biology studies on biological capabilities, risks, and safeguards.
• Assess biological feasibility and misuse risks by integrating model capabilities, literature, experimental findings, and expert input.
• Collaborate on evaluations and red-teaming, and translate risk judgments into policy boundaries and mitigation requirements.

What they ask for

• PhD or comparable experience in computational biology or a related quantitative biological discipline, with a record of original research.
• Substantive experience assessing biological dual-use risks, including pathogen-, toxin-related, or other consequential misuse.
• Experience applying biological expertise to AI safety, such as threat-model analysis, evaluation, red-teaming, or mitigation design.
• Strong quantitative analysis and scientific programming skills; ability to run reproducible studies and investigate model outputs and biological data.

Nice to have

• Experience connecting biological modeling or design to experimental validation, including workflows with LLMs, specialized models, agents, or laboratory automation.
• Experience commissioning specialist research or coordinating external scientific collaborators.

Pay

$268,000 — $384,000 USD base salary

Tools

LLMs

AI focus

Research how AI models, agents, and automated laboratories affect biological capabilities and risks; develop safety evaluations, red-teaming studies, and mitigations, including work on oversight of scientific superintelligence.