
PhysioNet Competitor (Biomedical Signal Processing & ML)
Strong hiring record · median 48 days open
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Actively hiring
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- Still listed on the employer's own board
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PhysioNet Competitor (Biomedical Signal Processing & ML) ESRhealthcare and EXEC STAFF RECRUITERS | Career Page
PhysioNet Competitor (Biomedical Signal Processing & ML)
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Job Description
PhysioNet Competitor (Biomedical Signal Processing & ML)
https://jobs.micro1.ai/post/ab08cc42-f7e0-4565-b306-11e55beb613f?referralCode=10002f4f-2f65-476f-b8d5-434a25460930&utm_source=referral&utm_medium=share&utm_campaign=job_referral
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 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.
Hands-on experience with physiological signals such as ECG, EEG, PPG, EMG, respiratory signals, polysomnography, or other clinical time-series data.
https://jobs.micro1.ai/post/ab08cc42-f7e0-4565-b306-11e55beb613f?referralCode=10002f4f-2f65-476f-b8d5-434a25460930&utm_source=referral&utm_medium=share&utm_campaign=job_referral
Company
ESR Healthcare
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Skills
- Machine Learning
- Python
- MATLAB
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