Backed by Emergence Capital.
About the role
Originate and close partnerships across pharma, diagnostics, and synthetic biology. Own the commercial workstream from qualification through signature, alongside a product lead who owns technical scope and scientific execution.
What they're looking for
- You have personally led and closed complex life sciences partnerships, and can explain what you did from first substantive conversation through signature
- You have relationships with decision-makers in at least one of our core markets and know how to build credibility in accounts where you do not
- You understand how large life sciences companies fund and approve work across research, business development, legal, procurement, data governance, and executive leadership
- You are technically fluent enough to understand what our models can do, identify where a proposed commitment outruns the evidence, and represent Radical credibly with scientific leaders
- You can distinguish a serious commercial opportunity from an interesting research conversation, and you are willing to end the latter before it consumes the team
- You are comfortable creating deal structures and internal processes before there is a standard playbook
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...
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