PhysioNet Competitor (Biomedical Signal Processing & ML) – Remote (Worldwide)
Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.
- Target Role:PhysioNet Competitor (Biomedical Signal Processing & ML) – Remote (Worldwide)
- Employer:RemoteJobsOne
- Work Mode:REMOTE
- Location:Canada, France, Germany, India, Netherlands, Singapore, United Kingdom, United States
- Compensation:USD 60 - 120 / hourly
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
IMPORTANT: after you apply, please check your email. We sendyou a link to complete your application — it is not considered until that laststep is done. If you do not see it, check your spam folder. 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 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. 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 machin
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
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What is the compensation or stipend for this role?▼
The verified package for this role is USD 60 - 120 / hourly (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
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Engineers with 2+ years of experience proficient in Data Science, Python, Predictive Modeling, Machine Learning are encouraged to apply.
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