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BIOMEDICAL DATA SCIENTIST

Join our team as we revolutionize cardiovascular health monitoring through advanced data science and machine learning. We are looking for passionate individuals who are eager to make a difference in biomedical technology. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I’m a great place for you to tell a story and let potential candidates know more about the exciting opportunities at Kardiametrix.

LOCATIONS

Atlanta, London

EMPLOYMENT TYPE

Full-time

What You'll Do

    As a key member of our team, you will utilize your expertise in biomedical data analysis and machine learning to develop innovative algorithms for comprehensive cardiovascular health monitoring. Your contributions will directly impact the advancement of our cutting-edge wristband technology, providing valuable insights into normo/hyper-tensive states, heart stroke volume and variability, performance of heart valves, health of coronary arteries and aorta, and blood viscosity.
    Join us in developing state-of-the-art solutions that bridge the gap between biomedical science and data-driven technologies. We are committed to pushing the boundaries of health monitoring and are seeking individuals who share our passion for creating impactful and accurate data-driven solutions.

Who You Are

    We are looking for individuals with a strong background in biomedical engineering, data science, or related fields. Your experience in developing machine learning models and analyzing biomedical data will be crucial in driving our mission to transform cardiovascular health monitoring. If you are a motivated and forward-thinking professional with a dedication to improving healthcare through data-driven insights, we encourage you to apply and join our dynamic team.
    At Kardiametrix, we value diversity and creativity, and we are committed to fostering an inclusive environment where all team members can thrive. If you are passionate about leveraging data science to make a meaningful impact on global health, we want to hear from you.
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