NewYork-Presbyterian Hospital-posted 4 months ago
$97,000 - $145,000/Yr
Full-time • Mid Level
Hybrid • New York, NY
Hospitals

Join the Quality team at NewYork-Presbyterian and bring new meaning to your career! As the Lead Quality Assurance and Performance Improvement Analyst for Bone Marrow Transplantation and Cellular Therapy, you will oversee and perform data collection, manage various internal databases, and ensure the accuracy and quality compliance with CIBMTR (Center for International Blood and Marrow Transplant Research) standards and timelines. You will be responsible for building databases and supervising the conversion of data into the appropriate file formats for statistical analysis and for the regular production of reports for the program, departments, divisions, and other relevant stakeholders. Additionally, you will lead efforts to interface with other databases in relation to QAPI data. As a senior team member, you will provide guidance and support to other team members. You will utilize tools such as SQL and Python to extract, transform, and load (ETL) data from various data sources into data warehouses, and develop visualizations such as charts, graphs, maps, and dashboards to present data clearly. This role will develop and implement data models and algorithms to improve data quality and usability. This position is based out of our corporate office in Midtown Manhattan with possible travel to any of our NYP sites and will be full-time Monday to Friday. The hybrid schedule includes 4 days in the office and 1 day remote.

  • Oversee and perform data collection for CIBMTR Registry.
  • Manage various internal databases and ensure data accuracy.
  • Build databases and supervise data conversion for statistical analysis.
  • Produce regular reports for programs, departments, and stakeholders.
  • Interface with other databases related to QAPI data.
  • Provide guidance and support to team members.
  • Utilize SQL and Python for ETL processes.
  • Develop visualizations to present data.
  • Implement data models and algorithms to improve data quality.
  • Bachelor's degree or equivalent experience.
  • 5+ years of related experience in quality or data analysis.
  • Excellent computer skills.
  • Demonstrates excellent writing and communication skills.
  • Exhibits strong research and analytical skills.
  • Clinical licensure (RN, PA, PharmD).
  • Masters degree in Public Health.
  • Proficiency in SQL, SAS, or Python.
  • Background in clinical data abstraction and experience with Red Cap.
  • Experience working collaboratively across multi-functional teams.
  • Comprehensive and competitive benefits.
  • Opportunities for personal and professional growth.
  • Dynamic environment that embraces every person.
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