We are looking for PhysioNet Competitor (Biomedical Signal Processing & ML) candidates for a project delivered through the hiring partner.
What you'll do
- Create technically rigorous, self-contained problems involving biomedical signals, time-series data, signal processing, and machine learning.
- Develop clear reference solutions using Python, MATLAB, or another appropriate scientific computing environment.
- Work with tasks involving signal preprocessing, filtering, segmentation, feature extraction, representation learning, classification, or forecasting.
What you need
- Explain the methods they developed, the experiments they ran, the technical decisions they personally owned, and how they validated their results.
- No prior experience working on AI training projects is required.
Nice to have
- Participation in a PhysioNet/Computing in Cardiology Challenge or a comparable biomedical signal processing or scientific machine learning competition.
- Strong competition results and evidence of a substantive personal technical contribution.
- Public evidence of your work through an official team result, conference paper, technical report, open-source repository, or meaningful code contribution.
- Hands-on experience with physiological signals such as ECG, EEG, PPG, EMG, respiratory signals, polysomnography, or other clinical time-series data.
Expertise
Who you work with
Project and contracting process: the hiring partner. Applications continue on the provider's website.
Pay and hours
This role pays $60–$120/hr, for 15 h/week. The work is remote. That is about 50% above the $60 an hour median for engineering roles open now.
Who can apply from where
The provider lists this role as open worldwide. With a profile, Tier1 checks your country and languages against this role and every other before you apply.