Quality Engineering Intern - Arvada, United States - LivaNova

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    Description
    Join us today and make a difference in people's lives.

    Quality Engineer Intern LivaNova is a global medical technology company built on decades of experience and a relentless commitment to improve the lives of patients around the world.

    As a worldwide leader in cardiovascular and neuromodulation solutions, we are dedicated to helping create meaningfulthat transform lives each and every day.

    It's health innovation that truly matters.


    Position Summary With guidance and oversight by the QE, performs quality work of a broad nature to achieve successful outcomes of departmental and company objectives.

    The Intern will assist Quality Engineering in completing tasks to ensure that production and process control activities are conducted in compliance with the company quality system and the international regulations governing medical device manufacturing and distribution.

    Help collect and analyze data for use by Quality Engineering in the evaluation of non-conforming products, product disposition and CAPA's to address quality issues.

    The Intern will also assist in general procedure updates required as part of process improvements and on-going maintenance of the Quality Management System.

    This internship is part time - 10 hours/wk for 16 weeks.


    Essential Job Functions Support Quality Engineering for executing the quality engineering activities related to the design and manufacture of the products in compliance with the Quality Management System requirements and the regulations of the countries where the franchise distributes and sells products.

    Work on projects related to conformance to the Medical Device requirements of ISO 13485 and FDA 21 CFR Part 11.

    With respect to Nonconforming product handling, The Intern will:

    Generate the weekly NCR data and communicate this to the designated parties.

    When requested by QE, collect and critically analyze data on nonconforming products identified in production.

    Assist in analyzing trend data to identify opportunities for future CAPA.

    Notify suppliers of any non-conformance related to purchased material

    With respect to Analysis of Complaint data and Returned Products, He/She will:

    Provides support for timely analysis to meet Customer Quality complaint and MDR reporting quality metrics.


    Qualifications:
    Working towards degree in Technical or Scientific Discipline preferred.

    Must have proficiency with quality tools such as flowcharts, statistical data analysis, mathematical reasoning.

    Location:
    Arvada, CO Pay: $20/hr, 10 hours/wk Learn more at


    LivaNova values equality and celebrates diversity: we are committed to ensuring our recruitment process and procedures are fair, transparent and free from unlawful discrimination.

    Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of the candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected cl

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    Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons posing as LivaNova recruiters or employees.

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    LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment.

    If you are concerned that an offer of employment might be a scam or that the recruiter is not legitimate, please verify by searching for "See Open Jobs" on, and check that all recruitment emails come from an email address.

    LivaNova values equality and celebrates diversity. We are committed to ensuring that our recruitment process is air, transparent and free from unlawful discrimination.


    Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.