Computational Biologist, AI Safety & Biosecurity

Google LLC; Mountain View, New York (CA, NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a Computational Biologist SME within the CBRNE team to evaluate and mitigate safety risks of frontier AI models in the biology domain. You will contribute to model assessment, data generation, and development of mitigations to prevent misuse by bad actors.

Join a global research ecosystem at Google DeepMind and collaborate across teams to shape safety policy and responsible AI advancement in biology.

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 (genomics, proteomics, structural biology).
• Experience evaluating emerging technologies and assessing potential biorisk or misuse scenarios.
• Experience with peer-reviewed contributions and cross-functional collaboration.
• Experience supporting a secure, global research environment.

Responsibilities

• Develop assessments and frameworks to quantify capability thresholds, technical feasibility, and potential consequences of model uplift where possible.
• Design and execute robust evaluations and relevant datasets of computational biology and/or microbiology to test model safety without compromising scientific utility.
• Partner with responsibility engineers to design nuanced mitigations that block harmful outputs while preserving usefulness.
• Support ongoing development and refinement of Google’s CBRNE safety policy and communicate risks and mitigation strategies to leadership and external stakeholders.

Skills

Computational biology

Biology data analysis

Genomics/proteomics data

AI safety knowledge

Biological threat landscape

Cross-functional collaboration

Secure research environments

Peer-reviewed contributions

Evaluating emerging tech

Risk assessment of AI models

Education

PhD in Computational Biology or related field

Equivalent practical experience

Job description

Google is seeking a Computational Biologist SME within the CBRNE team to evaluate and mitigate safety risks of frontier AI models in the biology domain. You will contribute to model assessment, data generation, and development of mitigations to prevent misuse by bad actors.

Join a global research ecosystem at Google DeepMind and collaborate across teams to shape safety policy and responsible AI advancement in biology.