PhysioNet Competitor – Remote

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This is a fully remote position open to candidates based in 55 countries including United States United Kingdom Canada Germany India France Netherlands Singapore.

Pay: $60$120/hr

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

We are engaging specialists with experience in the PhysioNet Challenge or comparable biomedical signal processing and machine learning 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.

1. Create technically rigorous self-contained problems involving biomedical signals time-series data signal processing and machine learning.
2. Develop clear reference solutions using Python MATLAB or another appropriate scientific computing environment.
3. Work with tasks involving signal preprocessing filtering segmentation feature extraction representation learning classification or forecasting.

1. Participation in a PhysioNet/Computing in Cardiology Challenge or a comparable biomedical signal processing or scientific machine learning competition.
2. Strong competition results and evidence of a substantive personal technical contribution.
3. Public evidence of your work through an official team result conference paper technical report open-source repository or meaningful code contribution.
4. Hands-on experience with physiological signals such as ECG EEG PPG EMG respiratory signals polysomnography or other clinical time-series data.

1. Apply to the role and complete the screening questions.
2. Complete an AI interview of approximately 30 minutes.
3. Complete the hiring manager review.

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the experts experience and workflow.

Minimum submission requirements apply.

1. We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected you will be expected to start your first task within 2448 hours of completing onboarding.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.