Backed by Emergence Capital.
About the role
You own product and commercial execution for biodefense, helping to improve global preparedness and response capabilities against high-consequence biological risks. You track community needs and investment trends in biodefense and biosecurity and help decide which problems our model, Omnii, is ready to solve, and turn technical evaluations into funded deployments.
What they're looking for
- You strive to bring the best possible capabilities to addressing biological threats
- You have personally helped win or deliver a technical program for the US government. You have been through an award cycle and understand who owns a requirement, which funding can pay for it, and how a promising pilot gets stranded
- You can hold your own with government scientists, turn their technical obstacles into product decisions, and explain those decisions clearly to our researchers and engineers
- You can build an early prototype yourself, enough to test a workflow, interrogate model output, or make a proposed product concrete for a customer
- You remain effective when the obstacle is data authority, software authorization, procurement, or an incumbent contract rather than model performance
- You are willing and eligible to pursue a US security clearance if the work requires it
More about this role
Radical Numerics 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 , and presented by our CEO on the main stage of TED2025 . Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2 , 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...
Browse similar: Startup jobs · San Francisco Bay Area