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    Senior Algorithm Engineer - Chicago, United States - cardiosense, Inc.

    cardiosense, Inc.
    cardiosense, Inc. Chicago, United States

    1 week ago

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    Description


    Cardiosense is a digital health company that operates at the intersection of wearable technology and artificial intelligence to improve patient health.

    Our mission is to use physiological waveform data to predict cardiac illness and enable early interventions so people can enjoy healthier, longer lives.

    To achieve our mission we are building a physiological waveform AI platform to develop predictive biomarkers to detect and manage cardiac disease.

    The company has developed a suite of novel digital tools, multi-sensor devices, and analysis algorithms for use by care providers to detect clinical worsening earlier, inform personalized therapy, and improve patient outcomes.

    Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.


    What you'll be doing:
    Help develop software solutions that provide clinically relevant metrics and indications from unobtrusive and non-invasive sensors.

    Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment.

    Design, implement, and evaluate models using both classical feature extraction and deep learning techniques. Manage multiple experiments in parallel.
    Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.

    What we're looking for:
    MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience
    5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics
    Experience with wearable health sensors and related biometric algorithms (e.g. PPG, ECG, respiratory signals)
    Expertise in digital signal processing techniques including noise reduction, frequency domain analysis, and filtering techniques.
    Deep understanding of both classical machine learning and AI/deep learning concepts
    Ability to effectively communicate requirements, manage tasks, and relay results to management teams.
    Experience with analytic database design and application
    Understanding of good machine learning practice for medical device development
    Cardiosense is an equal opportunity employer.

    All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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