PhysioNet Competitor (Biomedical Signal Processing & ML)
Posted 1 day ago
You'll complete your application on micro1's career site.
About the Role
This position targets experts possessing extensive experience in machine learning and the processing of biomedical signals, particularly those with a history of participating in the PhysioNet Challenge or analogous competitive events. You will apply your proficiency in modeling and scientific programming to design, resolve, and assess sophisticated technical challenges that advance state-of-the-art AI systems. The role emphasizes utilizing your practical expertise to translate intricate research into scalable artificial intelligence solutions. You will engage with physiological data, refining erratic raw signals into precise and repeatable analytical findings. You must be prepared to document your developed methodologies, explain your experimental procedures, justify your technical choices, and prove the validation of your outcomes. This role is intended for those who thrive on problem-solving and can verify their experience via technical documentation, published research, or public code repositories.
Requirements
- You must show prior involvement in a Computing in Cardiology or PhysioNet challenge, or a comparable high-tier biomedical signal processing or machine learning contest.
- You must provide tangible proof of your technical impact, such as published papers, public repository activity, or official competition outcomes.
- You must have a firm grasp of biology, biotechnology, and machine learning principles.
- You must demonstrate practical experience with physiological data types like EMG, EEG, ECG, PPG, polysomnography, or respiratory signals.
- You must be highly proficient in MATLAB, Python, or a similar scientific computing platform.
Responsibilities
- You will design robust, self-contained technical problems centered on machine learning, signal processing, and time-series data analysis.
- You will formulate precise and accurate reference solutions utilizing your chosen scientific programming environment.
- You will manage various aspects of the data pipeline, encompassing signal filtering, segmentation, and preprocessing.
- You will execute tasks related to representation learning, feature extraction, forecasting, and classification to ensure scientific integrity.
Benefits & Perks
- The role provides a flexible schedule, enabling you to set your own working days and hours, including weekend availability.
- You will be compensated at an hourly rate ranging from 60 to 120 dollars, based on an output-driven model where payment is issued for each task that fulfills the specified project requirements.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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