
Unsupervised Biological AI
Exonic Biosciences · Dogpatch, San Francisco
$120K–$180K a year + equity
Exonic is building AI systems for programmable biology.
We train multimodal foundation models on large-scale biological datasets to design synthetic non-coding DNA. We experimentally validate our AI-designed systems in mammalian cells, with current applications in cell-type targeting and viral vector biomanufacturing.
Our core focus is synthetic regulatory DNA. We have already generated strong in vitro cell-type targeting results and are expanding our internal experimental platform in San Francisco.
We are looking for an ambitious experimental scientist to take ownership of Exonic’s wet-lab work and help push the platform into new directions.
You would work directly with the founder as one of the first people in the company.
What you’ll work on
Relevant experience
We care most about ownership, execution speed, and comfort with ambiguity.
This is an early-stage role with autonomy, and the opportunity to build the biological engine of an AI-native synthetic DNA company.
Location: San Francisco / MBC BioLabs
What if you could train a biological foundation model on... the entire internet? Exonic is pioneering a new generation of biological foundation models, focused on heterogeneous, unstructured, and noisy datasets. Our first application is the design of safer, more controllable, and more affordable gene therapies.