Sleep Number

  • Biomedical Data Analyst Intern

    Job Location US-CA-San Jose
    Req. #
    2018-16946
    Type
    Temporary
  • Overview

    We are looking for a Biomedical Data Analyst Intern to assist us with analyzing sleep data collected from in-home consumer testers sleeping on our smart beds. The chosen candidate will gain a valuable first-hand experience in a versatile R&D environment under the supervision of senior engineers who are collectively responsible for the research and development of algorithms for our revolutionary, touchless sleep & health monitoring solutions.

    Responsibilities

    • Organizing and analyzing a large-scale sleep data collected from consumer testers
    • Running various algorithms on sleep data, garnering conclusive results, and making effective presentations
    • Assisting in designing additional experiments for sleep data collection and analysis
    • Testing & validation of various signal processing & machine learning algorithms

    Qualifications

    Experience, Education & Certifications: 

    • Currently pursuing an MS degree in electrical engineering, biomedical engineering or a related field

    Knowledge, skills & abilities: 

    • Strong analytical and math skills • Working knowledge of statistics • Experience with data analysis and visualization tools (e.g., Matlab, R, Python) • Ability to design and follow biomedical experimentation procedures • Must have the willingness and ability to manage and analyze large data sets
    • Must be able to work independently and as an effective team member • Good communication and organizational skills
    • Interest in bio-signal analysis and processing
    • Experience with algorithm development and testing

    Equal Opportunity Employer

    Sleep Number is an equal opportunity employer, committed to recruiting, hiring and promoting qualified people of all backgrounds, regardless of sex; race; color; creed; national origin; religion; age; marital status; pregnancy; physical, mental, communicative or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law.

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