Biological Safety Research Scientist
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
What this role actually needs.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Responsibilities: - Design and execute capability evaluations ("evals") to assess the capabilities of new models - Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers - Analyze safety system performance in traffic, identifying gaps and proposing improvements - Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces - Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle - Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety Requirements: - Background in AI/ML systems, particularly experience with large language models - Experience in developing ML for biological systems - Extensive experience in complex projects with multiple stakeholders Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Biological Safety Research Scientist role.
- Design and execute capability evaluations ("evals") to assess the capabilities of new models
- Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers
- Analyze safety system performance in traffic, identifying gaps and proposing improvements
- Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
- Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
- Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Background in AI/ML systems, particularly experience with large language models
- Experience in developing ML for biological systems
- Extensive experience in complex projects with multiple stakeholders
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Source: job-boards.greenhouse.io · Source ID: 5066977008 · Confidence: 97/100 · Last checked: May 7, 2026
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