Radical Numerics

Radical Numerics

Member of Technical Staff, Biosecurity

San Francisco · Staff+

Work authorization required$26k-$42kDetected 127 days ago
Distributed SystemsMachine LearningDesign SystemsBioinformaticsCRISPRResearchCommunication

About the role

  • This role blends research and engineering.
  • We believe biology will be the most impactful and consequential application of AI-and that advancing capabilities must go hand-in-hand with advancing safety and biosecurity.

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.
  • 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.
  • 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.
  • 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.

Requirements

  • 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.
  • Strong intuition for failure modes, adversarial behavior, and misuse risks, with the ability to translate ambiguous risks into concrete technical work.
  • 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.

Nice to have

  • Experience with pathogen genomics, bio-surveillance, or DNA synthesis screening.
  • Background in AI safety, red-teaming, or model evaluations.
  • Experience with models like Evo, ESM, AlphaFold, or genomic foundation models.
  • Work directly on frontier biological AI systems and define how they are evaluated, controlled, and deployed.
  • Help shape global infrastructure for biological risk detection and response.
  • It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
  • Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Compensation

  • $26k-$42k

Benefits

  • 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.

Company info

  • Radical Numerics http://radicalnumerics.ai is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.
  • Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science https://www.science.org/doi/10.1126/science.ado9336, and presented by our CEO on the main stage of TED2025 https://www.youtube.com/watch?v=EnbfoFUFm2s. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome https://www.biorxiv.org/content/10.1101/2025.09.12.675911v1 from scratch. Evo 2 https://www.nature.com/articles/s41586-026-10176-5, featured in Nature, is the largest fully open source AI project across any domain.
  • Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We've redesigned the foundation model training stack to turn the world's raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.
  • The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.
  • Radical Numerics http://radicalnumerics.ai is an AI research lab building general biological intelligence.
  • Our mission is to master the code of life, and our purpose is to reduce human suffering.
  • Our team created Evo, and started the field of generative genomics.
  • Our work was featured on the cover of Science https://www.science.org/doi/10.1126/science.ado9336, and presented by our CEO on the main stage of TED2025 https://www.youtube.com/watch?v=EnbfoFUFm2s.
  • Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome https://www.biorxiv.org/content/10.1101/2025.09.12.675911v1 from scratch.
  • Evo 2 https://www.nature.com/articles/s41586-026-10176-5, featured in Nature, is the largest fully open source AI project across any domain.
  • Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology.
  • We've redesigned the foundation model training stack to turn the world's raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.
  • The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons.
  • We believe these forces are inseparable.
  • Radical Numerics was founded to develop both the power to design and the responsibility to defend.

Visa & Work Authorization

  • Radical Numerics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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This listing is sourced directly from Radical Numerics's careers page and normalized into a canonical job model.