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MABASA / INDEED

Clinical Data Analyst

Montefiore Einstein

Location
Yonkers, NY, US
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert
Advertised salary
USD 105,726-132,157

Job description from the source

**City/State:** Yonkers, New York **Grant Funded:** No **Department:** NPG \- Performance Projects 3 **Work Shift:** Day **Work Days:** MON\-FRI **Scheduled Hours:** 8:30 AM\-5 PM **Scheduled Daily Hours:** 7\.5 HOURS **Pay Range:** $105,726\.14\-$132,157\.67 **Position Summary** The Clinical Data Analyst primary responsibility is to collect and submit reliable data to the designated data base including National Cardiovascular Data Registry, NY State Department of Health registry, Society for Thoracic Surgeons registry, etc. This is accomplished through high\-quality clinical screening, data compilation, documentation and entry into the appropriate database of all eligible cases for the medical center. The Clinical Data Analyst also works closely with the members of the Division of Cardiology to identify opportunities for clinical quality improvement and other special projects as may be identified. **Requirement** * Bachelor Degree Required * PA or RN license and clinical experience involving direct patient care * The individual must have clinical experience involving the direct care of patients as evidenced by an RN, NP or PA degree with prior practical experience. Cardiovascular background preferred. * 3\-5 years of experience working in an administrative setting involving organizational skills, independent decision making and interaction with multidisciplinary team members. Completion of training and through understanding of NCDR, New York Department of Health, and STS TAVR registries. Participation in ongoing training via continuing education modules, regular conferences calls, and annual conferences as appropriate. * Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.

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