At Safebeat Rx, we’re building ECG software that powers a hospitalization at home. We’re applying ML to cardiovascular disease detection, so far this means interpreting time-series data from ECG signals and determining whether they exhibit certain issues (more on this when you join!). We are currently doing this via a combination of signal processing and ML algorithms, but there’s always lots of room for improvement in terms of the algorithms, the approach, signal selection and cleanup, among others.
We’re looking for a technical advisor who is able to also work hands on at least 10 hours a week. This is an equity based compensation for a technical advisor position.
You are
- Very comfortable writing Python
- Experienced with multivariate time series data, signal and image processing, and probabilistic methods.
- Familiar with Keras/PyTorch and training deep neural networks
- Excellent at getting things done
- Self-directed and independent
- Nice to have: experience with ECG analysis
Activities include
- You will be part of a team pushing the boundaries of ML-enhanced electrocardiography
- You will be expected to be proactive, look at our current approach and read research papers on the subject to find alternative approaches
- Build prototypes to quickly test these approaches documenting the results.
- You will own your project and take your own decisions, write code, run experiments, evaluate results, and draw conclusions
Why you should join SafeBeat Rx
At SafeBeat Rx (YC S21), we are building ECG software that powers a hospitalization at home. Our take-home solution helps patients to get care at home, by combining FDA-cleared wearables with our ECG software that catches heart rhythm changes very quickly to allow for decision making. By joining our team, you will have a direct impact on millions of patients’ lives.
If our mission and product excite you, we would love to connect.
SafeBeat
