Senior / Principal Computational Biologist, AI Safety

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

Your Impact at LILA

We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to identify and mitigate risks from scientific superintelligence while retaining the core scientific discovery capabilities of the stack. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a research agenda that explores longer-term needs such as oversight of superintelligent scientific systems.

You will conduct original computational biology research for AI safety and build an integrated understanding of biological risks. You will investigate how capabilities across large language models, specialized biological models, agents and automated laboratories combine to change what is biologically feasible. Our work spans protein and nucleic-acid design, cellular systems and biological delivery; we welcome other specialisms that bring relevant scientific depth and risk judgment.

What You'll Be Building

• Formulate and pursue original computational biology research questions relevant to safety, developing computational approaches and designing and running studies that generate new evidence about biological capabilities, risks and safeguards.
• Build and update an integrated picture of risks, examining how capabilities across LLMs, specialized biological models, agents and automated laboratories interact within scientific workflows and change practical constraints.
• Combine your research with literature, model assessments, experimental findings and expert input to judge biological feasibility, uncertainty and the significance of emerging capabilities for misuse.
• Identify gaps in expertise, frame questions for external specialists and critically integrate their findings with support from the expert-program team.
• Translate scientific risk judgments into dual-use policy boundaries, evaluation priorities and mitigation requirements that preserve beneficial biological research.
• Work with threat modelers, automated-safety researchers, experimental scientists and mitigation engineers to design informative evaluations and red-teaming studies, test assumptions and assess safeguards.

What You'll Need to Succeed

• Deep expertise (a PhD, or comparable experience) in computational biology or a related quantitative biological discipline, with a record of original research from question formulation and computational study design through to defensible findings.
• Substantive experience assessing biological dual-use risks, with a strong understanding of relevant harmful applications, including pathogen- or toxin-related risks or other consequential biological misuse.
• Prior experience applying biological expertise to AI safety through analysis informing threat models, evaluation or red-teaming work, or mitigation design.
• Sound judgment about the relationship between computational predictions, biological function and experimental evidence, including uncertainty and the limits of your expertise.
• Strong quantitative analysis and scientific programming skills, with the ability to develop computational approaches, run reproducible studies and critically investigate model outputs and biological data.
• The ability to investigate unfamiliar questions, identify appropriate specialists and communicate defensible conclusions across scientific, engineering and policy teams.

Bonus Points For

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

Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits.

• Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits.

• Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
• USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range

$268,000—$384,000 USD

About LILA

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

We’re All In

Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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A Note to Agencies

*Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.*