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    Assistant/Associate Research Faculty - Charlottesville, United States - University of Virginia

    University of Virginia
    University of Virginia Charlottesville, United States

    1 week ago

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    Description

    _The Center for Diabetes Technology (the "Center") at the University of Virginia School of Medicine is seeking a diabetes technologist to join our faculty.

    This is a research position, with possible limited teaching/student training depending on the candidate's preference.

    The candidate should have a very strong commitment to improving the management of diabetes by promoting technology development, testing, and translation for new preventive, diagnostic, and therapeutic strategies.

    The successful candidate must have a Ph.
    D.

    in engineering, data science, mathematics, or physics and a successful track record in the development and clinical validation of technology-based clinical interventions.

    A minimum of 3 years of post-doctoral experience and prior experience in diabetes research are preferred. The compensation and recruitment package will depend on the candidate's qualifications. Salary, rank, and track are dependent upon qualifications and experience. For information regarding faculty tracks, visit_ _._

    _The Center is directed by Prof. Boris Kovatchev, PhD, a world-renowned researcher in the field of diabetes technology and data science. He is actively involved with Center projects and with the direction of all Center faculty. The Center's Associate Director for Research is Prof.

    Marc Breton, PhD, a control and system engineer with 20 years of experience in transforming diabetes data into improved treatments, including some of the most advanced artificial pancreas (AP) algorithms to date.

    Prof.

    Sue Brown, MD leads the clinical aspects of the Center's work, including some of the largest randomized AP clinical trials in the World.

    The Center is translational in nature, focusing on continuity from vision, to research, to execution of clinical trials - an approach that allows our faculty to experience all aspects of the development of viable therapies.

    _


    _The Center's faculty primarily comes from the School of Medicine, with appointments in the Departments of Psychiatry and Behavioral Sciences, the Department of Pediatrics, and the Division of Endocrinology and Metabolism of the Department of Medicine but maintains strong ties with the Schools of Engineering and Applied Science and the School of Data Science.

    The primary appointment of the successful candidate will be at the School of Medicine, in the Department of Psychiatry and Neurobehavioral Sciences.

    _

    _For further information regarding the Center please contact Dr. Boris Kovatchev (_ ) _), Dr. Marc Breton (_ .edu_ _), or Dr. Sue Brown (_ .edu_ _)._


    _The selected candidate will be required to complete a background check at time of offer per University Policy, including a criminal background check, as well as pre-employment health and drug screenings.

    _

    _- Ph.
    D. in engineering, data science, mathematics, or physics._

    _- Successful track record in the development and clinical validation of technology-based clinical interventions._

    _- A minimum of 3 years of post-doctoral experience and prior experience in diabetes research are preferred._


    _


    TO APPLY:
    _
    _Please apply through Interfolio at_ _Complete an application online and attach:_


    • _CV/Resume_
    • _Cover Letter detailing your interest in this position_
    • _Statement addressing efforts that demonstrate a commitment to the University's mission of an inclusive community,_ _._
    • _Professional reference list_
    _Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all the required documents will not receive full consideration. Review of applications will begin on December 1, 2023, but the position will remain open until filled._

    _UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit_ _For more information about UVA and the Charlottesville community please see_ _and_ ) _._

    _For more information on the benefits available to faculty at UVA, visit_ _and_


    The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.

    We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers.

    All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.


    The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit
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