CONTRACTORRemoteActive
PhysioNet Competitor (Biomedical Signal Processing & ML)
Micro1 is engaging specialists with experience in the PhysioNet Challenge or comparable biomedical signal-processing and machine-learning competitions. Contractors create, solve, and evaluate technical problems that help improve AI systems, using scientific programming and reproducible analysis of physiological signals and clinical time-series data. Prior AI-training-project experience is not required.
Salary
$60 - $120 / hour
Department
AI Research & Biomedical Signal Processing
Experience
Hands-on biomedical signal-processing or scientific machine-learning experience, ideally including PhysioNet/Computing in Cardiology Challenges or comparable work.
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Remote contractor | micro1 application platform
- Experience
- Recorded experience: Hands-on biomedical signal-processing or scientific machine-learning experience, ideally including PhysioNet/Computing in Cardiology Challenges or comparable work.
- Core expertise
- AI Research & Biomedical Signal Processing | Biomedical Signal Processing | Machine Learning | MATLAB
- Named tools
- Python
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-10-16 | Valid through 2026-11-15
- Compensation
- Recorded compensation: $60-$120/hour
Responsibilities
- Create rigorous, self-contained problems involving biomedical signals, time-series data, signal processing, and machine learning.
- Develop reference solutions using Python, MATLAB, or another scientific-computing environment.
- Work on signal preprocessing, filtering, segmentation, feature extraction, representation learning, classification, or forecasting.
- Explain technical methods, experiments, personal contributions, and validation approaches.
- Produce reproducible analyses of noisy real-world physiological data.
Skills
Biomedical Signal ProcessingMachine LearningPythonMATLABBiotechnologyBiologyTime-Series AnalysisECGEEGPPGEMG
Requirements
- Experience with a PhysioNet/Computing in Cardiology Challenge or comparable biomedical signal-processing or scientific-ML competition is preferred.
- Evidence of substantive personal technical contribution, such as a team result, paper, technical report, repository, or code contribution.
- Hands-on experience with physiological signals such as ECG, EEG, PPG, EMG, respiratory signals, polysomnography, or clinical time series.
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
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