Radical Numerics is building biological AI to understand, predict, and design biology while strengthening defenses against biological threats. Backed by Emergence Capital.
About the role
Own compensation and leveling. Maintain comp ranges and the employee-levels mapping, and run equity scenario modeling and benchmarking for new roles. Own onboarding and offboarding end to end, including welcome and pre-start communications, background checks, I-9 verification, system access, and departing-employee accounts. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You have run People Operations at an early-stage company and can explain the systems you built, not just the ones you inherited
- You have hands-on experience with U.S. employment immigration, especially O-1, OPT and H1Bs and know how to keep timelines and counsel moving
- You understand startup compensation, including bands, leveling, and equity, and can model tradeoffs clearly for leadership
- You know PEO and EOR platforms such as Justworks, and understand multi-state and international employment compliance
- You exercise judgment on sensitive issues and know when to bring in counsel
- You are organized enough to run many open threads at once without dropping any, and you document them so someone else could pick them up
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-generated 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.
In October, we introduced Omnii-1, the world's most advanced multimodal genome language model, and a leap toward general biological intelligence. It unifies 28 biological modalities, spanning DNA, RNA, proteins, epigenomics, and more, in a single model trained on trillions of tokens of biological data In a world first , Omnii-1 designed the first AI-generated bacteriophages to be administered to a human patient with an antibiotic-resistant infection under compassionate use. We released this news alongside seven other project areas , showing the model’s breadth of applications.
The same generative breakthroughs that enable life-saving cures also lowers...
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