PhysioNet Competitor (Biomedical Signal Processing & ML) | Remote - contract

Role Title: PhysioNet Competitor (Biomedical Signal Processing & ML) 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 We are 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. Required Skills Biotechnology Biology Machine Learning 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 Participa