Biology Safety Lead (AI Safety)

Location: Remote (U.S. Only)

Salary: $230,000–$280,000 per year, plus performance-based bonus and meaningful equity.

Company

hirify.global develops AI model evaluations, real-time threat detection, and adaptive adversarial red-teaming agents to improve the safety and security of AI systems.

What you will do

• Build and lead the biology safety capability across red-teaming, evaluation, benchmarking, defenses, and safety infrastructure.
• Design adversarial evaluations of frontier language, agentic, and multimodal AI systems for biological misuse risks.
• Partner with machine learning engineers and AI researchers to create evaluation datasets, classifiers, guardrails, benchmarks, fine-tuned models, and automated red-teaming systems.
• Develop hirify.global's CBRN harm taxonomy and produce technical risk assessments and recommendations for AI labs, customers, policymakers, and internal stakeholders.
• Build, mentor, and lead a team of biology subject matter experts while establishing evaluation standards and quality processes.
• Represent hirify.global in collaborations with AI labs, biosecurity organizations, government partners, and the AI safety research community.

Requirements

• PhD in biology, 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 with adversarial evaluations, biological risk assessments, AI safety research, or safety datasets for frontier AI systems.
• Ability to work at the intersection of biology, machine learning, and AI security in an ambiguous, fast-moving environment.
• Experience building teams, processes, and technical infrastructure from the ground up.

Nice to have

• Experience developing machine learning systems, biological safety classifiers, or evaluation pipelines for high-risk biological capabilities.
• Hands-on experience with frontier AI evaluations, red-teaming, prompt engineering, or AI capability benchmarking.
• Experience with government biosecurity organizations, frontier AI labs, or catastrophic biological risk organizations.
• 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.

Culture & Benefits

• Work directly on frontier AI safety and biological risk reduction.
• Flexible work arrangements.
• 401(k) with up to 4% matching.
• 28 days of annual leave, including vacation and holidays.
• Health, dental, and vision coverage.
• Visa sponsorship is available for exceptional candidates.

Hiring process

• Application review followed by a 15-minute online technical screen.
• Introductory call, bio and AI expertise interview, and experience and culture interview.
• Reference checks with 3–5 provided references, followed by an offer.