Conduct original computational biology research to assess biological capabilities, misuse risks, and safeguards, integrating evidence from models, literature, experiments, and experts. Translate scientific risk assessments into policy boundaries, evaluation priorities, and mitigation requirements, collaborating with safety, engineering, and experimental teams. Requires a PhD or comparable experience in computational biology or a related quantitative biological discipline, a record of original research, and substantive experience assessing biological dual-use risks. Candidates should have experience applying biological expertise to AI safety, strong quantitative and programming skills, sound judgment about biological evidence and uncertainty, and the ability to communicate findings across disciplines.
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