Biological Safety Research Scientist
Core
Design and develop AI safety systems to detect harmful behaviors and prevent misuse of frontier AI models in the biological domain.
Role type
Research Scientist (AI Safety & Biosecurity)
Builds
Safety systems, evals, and training data for AI models
Domain
Artificial Intelligence / Biosecurity / Life Sciences
Deliverable
production ML models
Required skills
molecular biology, virology, microbiology, biochemistry, systems biology, computational biology, scientific computing, data analysis, Python programming, gene synthesis, genome editing, strain construction, protein engineering, dual-use research regulations, biosecurity frameworks
Preferred skills
AI/ML systems, large language models, ML for biological systems, complex stakeholder projects
Technologies
Python
Responsibilities
Design and execute capability evaluations (evals) to assess new model capabilities; Collaborate with threat modeling experts and ML engineers to develop and train safety systems; Analyze safety system performance in traffic and propose improvements; Develop rigorous stress-testing of safeguards against evolving threats; Partner with Research, Product, and Policy teams to embed biological safety in the model development lifecycle; Contribute to external communications including model cards and policy documents; Monitor emerging technologies for new risks and mitigation strategies
Seniority
Senior, hands-on IC
