Role Title: PhysioNet Competitor (Biomedical Signal Processing & ML) Pay: $60–$120/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible-you choose the hours and days you work, including weekends if desired micro1 is engaging specialists with experience in the PhysioN
About the role
Role Title: PhysioNet Competitor (Biomedical Signal Processing & ML)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
micro1 is engaging specialists with experience in the PhysioNet Challenge or comparable biomedical signal processing and machine learning competitions. In this role, you will apply your scientific programming, signal processing, and modeling expertise to create, solve, and evaluate advanced technical problems that help improve next-generation AI systems.
We are looking for people who have worked directly with physiological signals and can turn noisy, real-world data into a rigorous and reproducible analysis. Strong candidates will be able to 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.
Scope of Work
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.
Preferred Qualifications
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. …
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