Data Analyst

NYU Langone HealthNew York, NY
Onsite

About The Position

The Brooklyn Data Station at NYU Grossman School of Medicine's Department of Population Health is a resource for finding, accessing, analyzing, visualizing, and communicating clinical and community-level data, with a focus on neighborhoods in New York City and Long Island. Housed in the Community Service Plan, Brooklyn Data Station is guided by principles of community-engaged research and works collaboratively with researchers, clinicians and community-based partners to help inform community needs and assets assessments, quality improvement initiatives, and applied research projects to improve population health. We are seeking a qualified data analyst to join our team to provide support with data management, analysis, visualization and communication of findings.

Requirements

  • Masters degree in a relevant field (e.g., statistics, biostatistics, epidemiology, data science, health services, public health, economics, public policy)
  • Minimum of 2 years of relevant work or research experience
  • Strong quantitative and programming skills (i.e., R, Python, SQL, SAS)
  • Proficiency with data visualization tools
  • Ability to work independently and collaboratively, manage multiple projects, and adapt to changing priorities
  • Familiarity with medical coding classification systems (ICD, CPT, LOINC, SNOMED)
  • Ability to effectively communicate with all levels of the organization

Nice To Haves

  • Proficiency in Spanish or Mandarin preferred
  • Familiarity with population and clinical health metrics
  • Prior experience working with electronic health record data

Responsibilities

  • Build and engineer workflows to access and manage data from secondary data sources
  • Support development of primary data collection tools through REDCap, including multi-lingual surveys, and create and manage analytic datasets and related codebooks
  • Collaborate with Family Health Centers and NYU Langone DataCore to write queries and conduct analysis of electronic health records data
  • Conduct descriptive data analysis from clinical and community-level data sources
  • Collaborate with faculty, staff and community partners to develop user-driven data visualizations and reports
  • Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, results and impact
  • Support efforts to monitor and track Brooklyn Data Station requests processes

Benefits

  • Financial security benefits
  • Generous time-off program
  • Employee resources groups for peer support
  • Holistic employee wellness program (physical, mental, nutritional, sleep, social, financial, and preventive care)
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