Career Center

The JMIR Career Center is an online platform dedicated to connecting professionals in the digital health field with job opportunities and career resources. It serves as a centralized hub where employers can post job openings, and individuals can explore a range of employment opportunities within the rapidly evolving intersection of healthcare and digital technologies.
For sales inquiries and support, please contact Erik Kersteter @ erik.kersteter@naylor.com or call 703-964-2784

Job Seekers, Welcome to JMIR Career Center
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California Correctional Health Care Services

CHCF-California Health Care Facility

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California Correctional Health Care Services

SAC-California State Prison, Sacramento

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California Correctional Health Care Services

SAC-California State Prison, Sacramento

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California Correctional Health Care Services

CMF-California Medical Facility

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California Correctional Health Care Services

RJD-R.J. Donovan Correctional Facility

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California Correctional Health Care Services

KVSP-Kern Valley State Prison

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California Correctional Health Care Services

PBSP-Pelican Bay State Prison

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California Correctional Health Care Services

KVSP-Kern Valley State Prison

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California Correctional Health Care Services

PBSP-Pelican Bay State Prison

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Northeast Georgia Health System

Gainesville, Georgia

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Baylor Scott & White Health

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Penn State Health

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Denver Health

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Phoenix Children's, Provider Recruitment

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Labcorp

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Indiana University Health

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Penn State Health

Enola, Pennsylvania

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Northwell Health

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Veterans Affairs, Veterans Health Administration

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University of Maryland Medical System

Glen Burnie, Maryland

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Postdoctoral Scientist - Urbanowicz Lab - Computational Biomedicine
Job DescriptionPrincipal Investigator, Dr. Ryan Urbanowicz, is seeking a Postdoctoral Scientist to join the Department of Computational Biomedicine!The primary focus of the URBS Lab (Unbounded Research in Biomedical Systems) is the development, evaluation and application of machine-learning (ML) and artificial intelligence (AI) tools/methods targeting various biomedical data types and problems. We develop and apply methods that (1) automate and prov


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