Nuvepro - Task Intelligence for the Enterprise
Anthropic· Safeguards (Trust & Safety) · San Francisco, CA

Biological Safety Research Scientist

Classified Tasks (11)

Automate 0%Augment 82%Human-Only 18%

Augment (9)

AI assists, human decides

Design and develop biological safety and oversight systems that detect harmful behaviors and prevent misuse by sophisticated threat actors

technical

Design and execute capability evaluations ("evals") to assess the capabilities of new models

analytical

Collaborate with internal and external threat modeling experts to develop training data for safety systems

communication

Train safety systems with ML engineers and optimize them for robustness against adversarial attacks and low false-positive rates for legitimate researchers

technical

Analyze safety system performance in traffic, identify gaps, and propose actionable improvements

analytical

Develop and perform rigorous stress-testing of safeguards against evolving threats and product surfaces

technical

Contribute to external communications by producing model cards, blog posts, and policy documents related to biological safety

communication

Monitor emerging technologies to assess new risks and identify or design mitigation strategies

analytical

Apply scientific computing and data analysis methods to support safety evaluations, training data development, and performance assessment

analytical

Human-Only (2)

Requires human judgment

Define responsible AI safety practices in the biological domain and translate complex biosecurity concepts into concrete technical safeguards across research, policy, and engineering

leadership

Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle

leadership

Job description

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviors and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors. In this role, you will: 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 Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these You may be a good fit if you have A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred) Deep expertise in modern biology, including both "reading" (e.g. high-throughput measurement, functional assays) and "writing" (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines) Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve Preferred Qualifications 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 The annual compensation range for this role is listed below. For sales roles, the range provided is the role
Source: Anthropic careers · scraped 2026-05-22
Apply at Anthropic