Biomedical Signal Processing & ML Expert Remote

Role Type: Contractor
Location: Global Fully Remote
Schedule: Approximately 15 hours per week with flexible working hours.

We are seeking specialists with experience in PhysioNet Challenges or similar biomedical signal processing and machine learning competitions. You will develop solve and evaluate technical problems to support the advancement of AI systems.

• Create challenging problems involving biomedical signals time-series analysis and machine learning.
• Develop reference solutions using Python MATLAB or other scientific computing tools.
• Work on signal preprocessing filtering segmentation feature extraction classification and forecasting.
• Document technical decisions experiments and validation methods.

• Experience in PhysioNet/CinC Challenges or comparable competitions.
• Strong biomedical signal processing and machine learning skills.
• Demonstrated technical contributions through research papers code repositories or competition results.
• Hands-on experience with ECG EEG PPG EMG respiratory signals or other physiological data.

1. Application and screening questions.
2. Approximately 30-minute AI interview.
3. Hiring manager review.

Immediate availability is preferred. Selected candidates should be ready to begin their first task within 2448 hours after onboarding.