About Us

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 to design and the responsibility to defend.

About the Role

You own the diagnostics side of our business. You identify where in clinical genomics companies, laboratories, and health systems our deals get funded, including product, R&D, and the laboratory itself.

Our science team owns the model itself. You decide what we build on top of it so a clinical organization can run our scoring inside a test they have already validated. The people who evaluate us are bioinformatics teams and lab directors, and they don’t move without validation on their own data, so you will have a lot of say in which studies we run.

You should be comfortable building prototypes. You are paired with an applications engineer who builds production product, and you go into partner meetings together.

You will carry a commercial target, weighted early toward getting a partner into production.

What You’ll Do

• Decide which interpretation problems we solve and for whom, and what has to be true technically before a clinical organization will run our output in production.
• Originate and close partnerships with clinical genomics companies, laboratories, and health systems. You are measured on committed contract value and on partners running our scoring in production rather than in pilots.
• Design the studies that convert a clinical buyer. Blind retrospectives on solved cases, concordance against the tools they use today, and reclassification yield on their own backlog.
• Tell our engineering team what production use requires from us, including version pinning, provenance, and the documentation a partner’s quality system needs.
• Flag early when an opportunity needs us to build something we do not have.
• Set pricing and structure with the Head of Product, and run the negotiation with our legal team.

What We’re Looking For

• Depth in clinical variant interpretation. ACMG and AMP criteria, ClinVar and its limits, VUS reclassification, and what a lab director or genetic counselor needs from a call.
• You have sold into clinical laboratories or diagnostics companies and carried a number.
• Working fluency in CLIA, CAP, the laboratory developed test landscape, and what analytical validation asks of a software component inside an assay.
• You stay useful when the real objection is reimbursement, liability, or the buyer’s own validation burden rather than the science.
• You want to own revenue, and you can run a long clinical sales cycle without going quiet inside it.

Nice to Have

• You have worked inside a clinical laboratory or a diagnostics company.
• Experience across both germline and somatic interpretation.
• You understand how a new component inside an existing billable test gets funded.