Data Analyst

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped shape the course of medical history and enrich the lives of countless people. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive.

We embrace inclusion and individual skills, ideas, and knowledge.

For more information, go to med.nyu.edu, and interact with us on Linked In, Glassdoor, Indeed, Facebook, Twitter, and Instagram.

We have an exciting opportunity to join our team as a Data Analyst. 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.

• 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 Data Core 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

To qualify you must have a 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 (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).

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

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package.

Our offerings provide a robust support system for any stage of life, whether it’s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time‑off program, and employee resource groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well‑being: physical, mental, nutritional, sleep, social, financial, and preventive care.

The benefits and wellness package is designed to allow you to…