Member of Technical Staff, Biosecurity
Hybrid (SF Bay Area)full-timePosted 7mo ago
About the role
Member of Technical Staff focusing on designing, evaluating, and deploying biosecurity systems for biological foundation models. Blend of research and engineering to build evaluation frameworks, safety architecture, and real-world biosecurity infrastructure in collaboration with government and external partners.
Responsibilities
- Design and run biosecurity evaluations. Develop evaluation frameworks for biological foundation models covering sequence generation risk, synthesis screening evasion, and capability assessment across genomics, proteins, and multimodal systems. Build red-teaming pipelines and define benchmarks that measure real-world risk and misuse potential.
- Work directly with models and data. Prototype pipelines for pathogen detection, sequence classification, anomaly detection, and risk scoring of biological sequences or designs. Collaborate with research teams to understand model behavior, identify dangerous capabilities early, and inform model design with safety constraints.
- Define safety architecture. Help design system-level safeguards including access controls, gating, monitoring, human-in-the-loop review, and deployment constraints for sensitive capabilities. Contribute to internal safety standards and release policies.
- Bridge to real-world biosecurity systems. Translate technical capabilities into deployable systems such as biosurveillance platforms, sequence screening tools, and rapid detection and response pipelines. Work with government and partners to align systems with real-world workflows.
- Drive partnerships and external engagement. Engage with government agencies, help shape joint technical programs and pilots, and communicate model capabilities, risks, and mitigations clearly to stakeholders.
- Identify new opportunities. Discover product and platform opportunities in biosecurity, help define Radical Numerics' role in global biological risk infrastructure, and operate with high ownership in a fast-moving, ambiguous environment.
Qualifications
- Strong technical background in at least one of: machine learning and AI systems (especially large models), computational biology and bioinformatics, or biosecurity and biodefense with technical depth.
- Ability to reason concretely about what biological AI systems can and cannot do, how those capabilities translate into real-world risks, and how to measure and mitigate those risks.
- Experience building or working with ML systems, or strong computational biology experience.
- Ability to design evaluations, benchmarks, or experimental frameworks for biological data, including genomic sequences, pathogens, protein data, or multi-omics.
- Strong intuition for failure modes, adversarial behavior, and misuse risks, with the ability to translate ambiguous risks into concrete technical work.
- High agency: defines problems, runs with them, and ships.
- Excellent written and verbal communication skills, especially the ability to engage credibly with government, labs, and policy stakeholders and translate technical systems into clear narratives.
Skills
Required:biosecurity evaluation designmodel governance and safety architecturestakeholder engagement
Nice to have:red-teaming and safety evaluationpathogen detection and sequence analysis pipelines
Last updated May 28, 2026. Interested? Apply on the company site.
About Radical Numerics
Next-gen AI lab for recursive self-improvement
Radical Numerics - Next-gen AI lab for recursive self-improvement
AIAI labrecursive self-improvement
More open roles at Radical Numerics
- Product Manager5mo agoHybrid (San Francisco, CA)
- Senior Engineering Manager5mo agoHybrid (SF Bay Area or Tokyo, Japan)
- Member of Technical Staff, Statistical Genetics5mo agoHybrid (SF Bay Area)
- Chief of Staff5mo agoHybrid (San Francisco Bay Area)
- Member of Technical Staff, Backend Engineering7mo agoHybrid (SF Bay Area), Hybrid (Tokyo, JP) · Engineering