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Gray Swan

Real-time AI risk detection and protection

Head of Biology

CybersecurityConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • PhD in biology, particularly in microbiology, virology, synthetic biology, protein engineering, or a closely related discipline, with postdoctoral or equivalent research experience.
  • Deep understanding of biological misuse risks, dual-use research, pathogen biology, synthetic biology, or biosecurity.
  • Experience conducting adversarial evaluations, biological risk assessments, AI safety research, or developing safety datasets for frontier AI systems.
  • Familiarity with international biosecurity frameworks, dual-use governance, responsible biotechnology practices, and emerging AI safety standards.
  • Comfort operating at the intersection of cutting-edge biology, machine learning, and AI security.
  • Ability to define strategy and build new systems in ambiguous, fast-moving environments.
  • Ability to create teams, processes, and technical infrastructure.

Responsibilities

  • Design and lead adversarial evaluations of frontier large language models for biological misuse risks, including agent acquisition, pathogen characterisation and enhancement, biosecurity screening bypass, and emerging biotechnology capabilities across text, agentic, and multimodal systems.
  • Partner with machine learning engineers and AI researchers to translate biological expertise into technical requirements for scalable evaluation datasets, classifiers, guardrails, benchmarks, fine-tuned models, and automated red-teaming for internal products and frontier AI lab partners.
  • Develop and maintain the biological component of Gray Swan's CBRN harm taxonomy, ensuring biological risk frameworks evolve alongside model capabilities.
  • Produce technical risk assessments and actionable recommendations for frontier AI labs, enterprise customers, policymakers, and internal stakeholders.
  • Build, mentor, and lead a high-performing team of biology subject matter experts while establishing evaluation standards, quality processes, and scalable safety infrastructure.
  • Represent Gray Swan as its biology safety expert through collaborations with AI labs, biosecurity organizations, government partners, and the AI safety research community.

Desired Qualifications

  • Experience developing machine learning systems, biological safety classifiers, or evaluation pipelines for high-risk biological capabilities.
  • Hands-on experience with frontier AI model evaluations, red-teaming, prompt engineering, or AI capability benchmarking.
  • Experience working with government biosecurity organizations, frontier AI labs, or organizations focused on catastrophic biological risk.
  • Publications or significant contributions in AI safety, biosecurity, synthetic biology, or dual-use governance.
  • Strong programming or data science experience, including Python, machine learning tooling, or biological data analysis.

About the Company

Gray Swan

Real-time AI risk detection and protection

Gray Swan AI develops security solutions for AI deployments, helping organizations identify, manage, and reduce risks in AI models. It provides real-time monitoring, input/output filtering, and threat analysis to prevent adversarial inputs, prompt injections, and model misuse. Core products are Cygnal (input/output filtering to prevent harmful behavior), Shade (automated attack simulations to uncover weaknesses), and Cygnet (an enterprise-focused, safety-oriented language model). Its goal is to enable reliable, compliant, and safe AI deployment by delivering ongoing protection across the AI lifecycle and focusing on the security layer of AI systems.

Company size
51-200
Company stage
Series A
Total funding
$45.7M
Headquarters
Pittsburgh, PA
Founded
2023

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