Computational Biologist, AI Safety & Risk SME

AI Chopping Block, Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google's CBRNE team within the Responsible Frontier AI Research (RFAIR) group is seeking a Computational Biologist SME to evaluate and mitigate safety risks of frontier AI models in biology, focusing on dual-use concerns and responsible model uplift.

You will develop assessments and frameworks to quantify capabilities, design robust evaluations with biological data, and collaborate with responsibility engineers to implement mitigations; a PhD in a related field and experience with genomics,

Qualifications

• PhD in Computational Biology, Bioinformatics, Biochemistry, Microbiology, or related field or equivalent practical experience.
• Experience applying computational tools, biological modeling, and command-line scripts to analyze protein biochemistry, microbiology, or pathogenic systems.
• Experience working with biological datasets (e.g., genomics, proteomics, structural biology).
• Experience evaluating emerging technologies and assessing potential biorisk or misuse scenarios.
• Experience with peer-reviewed contributions and working across cross-functional teams.
• Experience supporting a secure, global research environment.

Responsibilities

• Develop assessments and frameworks to rigorously quantify capability thresholds, technical feasibility, and potential consequences of model uplift wherever possible.
• Design and execute robust evaluations and relevant datasets of computational biology and/or microbiology and other critical related areas. The goal of these evaluations is to elicit the maximum capability of the model to determine how it can uplift malicious actors across the domain.
• Partner with responsibility engineers to design highly nuanced mitigations that block harmful outputs without overly degrading the model's scientific utility. Similar to writing capability evaluations, this requires a deep understanding of dual use science.
• Support the ongoing development and refinement of Google’s CBRNE safety policy, and clearly communicate complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders.

Job description

Google's CBRNE team within the Responsible Frontier AI Research (RFAIR) group is seeking a Computational Biologist SME to evaluate and mitigate safety risks of frontier AI models in biology, focusing on dual-use concerns and responsible model uplift.

You will develop assessments and frameworks to quantify capabilities, design robust evaluations with biological data, and collaborate with responsibility engineers to implement mitigations; a PhD in a related field and experience with genomics,