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Computational Biologist, DeepMind

Google
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Hybrid (Mountain View, CA; New York, NY)$174k - $252kPosted 2w ago

About the role

Computational biologist role in Google's DeepMind CBRNE team within Responsible Frontier AI Research (RFAIR), focusing on evaluating and mitigating safety risks of frontier AI models in biology, with an emphasis on preventing dual-use misuse.

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 to elicit maximum model capability and assess risk in the biology domain.
  • Partner with responsibility engineers to design mitigations that block harmful outputs without overly degrading scientific utility.
  • Support the ongoing development and refinement of Google’s CBRNE safety policy, and communicate complex risks, evaluation findings, and mitigation strategies to leadership and external stakeholders.

Qualifications

  • PhD in Computational Biology, Bioinformatics, Biochemistry, Microbiology, or a 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.

Skills

Required:Computational biologyBiology data analysisSafety evaluation
Last updated Oct 23, 2026. Interested? Apply on the company site.

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