About this role
Getting a study from a hospital's systems into ours, running our model, and getting the result back is where a lot of clinical AI quietly fails. A study arrives incomplete. A sender never closes its association. A parser reads a whole request body into memory and the task disappears behind a bare 502. A firewall rule meant for one address gets applied to the wrong egress IP and produces a mid-stream 403 that looks exactly like a TLS failure. This role owns that path end to end: how studies come in, how results go back, and how we show a hospital's IT team that it all works.
We build clinical AI that reads alongside radiologists. Our abdomen-pelvis CT triage device is FDA-cleared, and it's the first commercial system to simultaneously triage seven urgent conditions on abdomen-pelvis CT in the U.S. We're backed by Khosla Ventures.
A cleared device only helps a hospital once it works inside the systems a radiologist already uses. Our clinical data path covers software running inside ...