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
Bring deep biological expertise to the data, tasks, and analyses behind our models. You will turn questions in genomics, gene regulation, protein biology, or systems biology into well-defined computational work and use sound judgment to interpret the results. The role can be shaped around a strong specialty, including data curation, bioinformatics pipelines, or model evaluation. You will partner with model researchers and experimental collaborators to build datasets and analyses that support useful scientific work. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- An exceptional research record in computational biology, bioinformatics, genomics, or another relevant area of biology, demonstrated through a PhD or equivalent research or industry experience
- Deep expertise in at least one biological domain, with strong scientific judgment and careful attention to data quality and experimental details
- Strong Python or R programming skills and experience building reliable, reproducible scientific analyses or software
- Ability to work between biology, machine learning, and engineering and communicate assumptions, results, and limitations clearly
- Experience working with agentic coding tools
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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