Patch Bio engineers DNA for gene therapy. We build technology to make gene therapies safer and more effective, and able to address a broader range of diseases. To do that, we work at the interface of genomics, machine learning, and DNA synthesis. We are a seed-stage, venture-backed biotech startup based in New York City.


You will be responsible for training ML models using data from our massively parallel assays in order to design large libraries of candidate DNA/RNA. Ideally, you have experience in quantitative genomics applications, including training neural networks to predict functional properties of sequences.



Desirable plus