Senior Computational Biologist - AI Safety & Bio Risk Research

Lilasciences; Greater London; On-site; GBP 200,000 - 287,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity opportunity

Job summary

Lila Sciences is building a talent-dense, high-agency AI safety team to engage core research and model development, identifying risks from advanced AI while preserving scientific discovery capabilities.

This role conducts original computational biology research for safety, investigates biological capabilities and dual-use risks, and translates findings into mitigation strategies across interdisciplinary teams.

Qualifications

• PhD or comparable experience in computational biology.
• Experience assessing biological dual-use risks.
• Experience applying biology to AI safety, threat models, or red-teaming.
• Ability to translate predictions to actionable conclusions with uncertainty.
• Proven ability to run reproducible computational studies.
• Ability to collaborate across scientific, engineering, and policy teams.

Responsibilities

• Formulate research questions and run studies to generate evidence about biological capabilities and safeguards.
• Update integrated risk picture across LLMs, biological models, agents, and labs.
• Integrate literature, model assessments, and expert input to judge feasibility and uncertainty.
• Identify gaps, frame questions for external specialists, coordinate with expert-program team.
• Translate risk judgments into dual-use policy boundaries and mitigation requirements.
• Work with threat modelers and mitigation engineers to design evaluations and red-teaming studies.

Skills

Computational biology

Quantitative analysis

Scientific programming

Cross-disciplinary communication

AI safety integration

Problem solving in unfamiliar domains

Education

PhD in computational biology

Job description

Lila Sciences is building a talent-dense, high-agency AI safety team to engage core research and model development, identifying risks from advanced AI while preserving scientific discovery capabilities.

This role conducts original computational biology research for safety, investigates biological capabilities and dual-use risks, and translates findings into mitigation strategies across interdisciplinary teams.