Senior / Principal Computational Biologist, AI Safety
Lila Sciences · Cambridge, MA USA; London, UK; San Francisco, CA USA · Alewife, Cambridge, MA · Europe · San Francisco, CA
Bio & Science AIonsitesenior/principal$268k–$384k
At a glance
Highlights
- Build bespoke AI safety strategy for scientific superintelligence at Lila.
- Study how LLMs, bio models, agents and labs change biological feasibility.
- Translate risk judgments into dual-use boundaries and safeguards.
What they offer
- Bonus potential
- Comprehensive benefits program
Ideal candidate
Research-minded computational biologist with sound risk judgment and a passion for AI safety, excited to turn complex biology into clear safeguards that enable safe scientific discovery.
Requirements
- PhD or comparable experience in computational biology or related quantitative biological discipline with record of original research
- Substantive experience assessing biological dual-use risks including pathogen- or toxin-related risks
- Prior experience applying biology expertise to AI safety via threat models, evaluations, red-teaming or mitigation design
- Sound judgment on computational predictions vs biological function, uncertainty and limits of expertise
- Strong quantitative analysis and scientific programming skills with reproducible studies
- Ability to investigate unfamiliar questions and communicate across scientific, engineering and policy teams
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation
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