Senior Research Scientist, AI Bio Capabilities Verification

The Senior Research Scientist will lead experimental research to determine whether the biological capabilities demonstrated by AI models in computational evaluations translate into real-world biological performance. Working within a foundational research team, you will design and conduct rigorous in vitro studies that help establish reliable evidence of AI-enabled biological capabilities and inform critical pre-release safety decisions. You will bridge computational evaluations and laboratory science, developing practical experimental methods for emerging capabilities where established benchmarks do not yet exist. The role offers an opportunity to shape a growing research program, contribute to the development of a BSL-2 laboratory, and collaborate with AI researchers, wet-lab specialists, and policy stakeholders. You will also help translate complex findings into clear, actionable evidence for researchers, AI developers, and policymakers. This is a full-time, mission-driven research position with a strong emphasis on scientific rigor, responsible experimentation, and biosecurity.

• PhD in Virology, Molecular Biology, Synthetic Biology, Protein Design, or a closely related discipline, together with several years of postdoctoral or equivalent professional experience. Equivalent depth of expertise from other career paths may also be considered.

• Substantial hands-on wet-lab experience in at least one relevant biological research area, with the ability to collaborate across related disciplines.

• Previous experience working with biological agents requiring BSL-2 containment or higher.

• Strong experimental design capabilities, including statistical power analysis, control selection, and confound management, particularly in small-sample studies.

• Well-calibrated judgment regarding biological risks and the ability to evaluate research activities through a biosecurity lens.

• Comfort developing methods for novel, non-standardized research questions where established experimental approaches may not exist.

• Ability to work effectively through short, intensive research cycles and adapt priorities as AI models and capabilities evolve.

• Strong commitment to research ethics, thorough documentation, and reproducible scientific practices.

• Discretion and sound judgment when handling confidential or sensitive biosecurity information.

• Alignment with the mission of preventing catastrophic pandemics and reducing biological risks.

• Practical experience using biological AI tools, such as protein-design models, biological sequence models, or comparable technologies.

Preferred Qualifications:

• Experience building research capabilities, teams, or experimental programs from the ground up, particularly in a biotech startup or similarly fast-moving environment.

• Working proficiency in Python or R, with the ability to independently run and iterate computational evaluations.

• Familiarity with Benchling or other laboratory information management systems (LIMS).

• Experience with liquid-handling automation or agentic AI coding tools.

• Knowledge of biosecurity policy, biological threat assessment, or counterterrorism-related work.

• Experience collaborating with AI developers or working in regulated environments or settings involving strict confidentiality and non-disclosure requirements.