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. Qualifications Required : Minimum (7+) years of IT experience in a complex healthcare environment, preferably in academic medical centers or tertiary care settings. Bachelor’s Degree in Computer science
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to analyze and document complex business processes. Preferred Qualifications: Advanced degree (foreign equivalent or higher) in business, technology, or finance. Peoplesoft experience. Experience working in a
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services under professional supervision. Preferred : NYS Certified Nursing Assistant license or certification from an approved certified nursing aide training program, one year of patient care experience and
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an approved certified nursing aide training program, one year of patient care experience and a High School Diploma or GED. Special Notes : Resume/CV should be included with the online application. Posting
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to improve patient outcomes. This position integrates health sciences and information science to manage and communicate data to support clinical practice. The informaticist will ensure the systems developed
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, instructor, and/or science communication trainer. Knowledge of and experience with strategic communication, program design, or evaluation. Superior writing and oral communication abilities. Interest in and
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Stony Brook University School of Nursing invites applications for a 0.8–1.0 FTE faculty appointment within our Graduate Program, along with the opportunity to serve as Program Director of the Family Nurse
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. Preferred Qualifications: One year of healthcare experience. One year of long term care experience. Excellent computer skills. Excellent written and verbal communication skills. Resume/CV and cover letter
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databases. Familiarity with the World Trade Center Health Program and its benefits. Brief Description of Duties: The Member Services Specialist reports to the Supervisor for Member Services and works as part
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Engineering, or Computer Science. Preferred Qualifications: * Prior research experience with PET imaging. * Prior experience with clinical research in neurocognitive disorders or neurodegenerative diseases