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
We are seeking research scientists and engineers in machine learning and artificial intelligence, with experience applying AI to biological problems or an interest in doing so. You will help lead the design, evaluation, and deployment of our multimodal genome language models, with a particular focus on our biosecurity and biodefense efforts. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong technical background in deep learning for large-scale classification, retrieval, or generative models
- Ability to design evaluation tasks and benchmarks that measure model capability beyond simple accuracy metrics, with a critical eye toward aligning computational outputs with actionable downstream applications
- Strong Python and ML tooling experience (PyTorch or JAX, experiment management, distributed training)
- Experience applying ML models to biological data and challenging prediction tasks
- Familiarity with molecular biology and biological data modalities, particularly genomics, gene regulation, protein biology, or cellular systems, or an interest in applying your AI/ML skills in this space
- Ability to reason concretely about what biological AI systems can and cannot do, how those capabilities translate into real-world risks, and how to measure and mitigate those risks
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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