Guiding cardiac therapeutics - all from your phone
Our research group in SafeBeat Rx makes life-saving ECG software technology, based on machine learning, that powers a hospital at home solution to replace certain types of cardiology admissions.
We are seeking a highly motivated Postdoctoral Fellow to join our research team. The ideal candidate will have a strong background in machine learning, artificial intelligence, or a related field and will contribute to ongoing projects while pursuing independent research interests.
This is an opportunity to attempt a really ambitious technology as part of a Silicon Valley Startup Company, SafeBeat.
About us
We are professional, agile, innovative and our goal is to make live saving software solutions that power a hospitalization at home for cardiology. We are backed by Y Combinator, 50 Years, and Fusion Fund.
Job Type: Full-time
Benefits: 401(k) Health insurance, PTO
Education: Doctorate (Preferred): C.S., E.E., E.E.C.S., Statistics, Mathematics, Physics
Experience: Scientific research: 3+ years (Required)
Work Location: Remote
At SafeBeat Rx (YC S21), we are building ECG software that literally saves lives and replaces a hospitalization. Our take-home kit allows patients to start heart meds safely at home, by combining FDA-cleared wearables with our ECG software that catches heart rhythm changes before they become heart attacks. Because we only focus on the software, our FDA and go-to-market pathways are much faster than other biotech/medtech companies. If you want to have a direct impact on millions of patients with heart problems, we'd love to connect. You would be working closely with the founders - two physician-engineers from Stanford/Harvard with a passion for medical innovation.
Read more at our bookface launch: https://bookface.ycombinator.com/posts/55104