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Data Analyst

New York NY NYU Langone Health

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 to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, 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 diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedInGlassdoorIndeed, FacebookTwitter and Instagram.

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

The Department of Population Health at NYU School of Medicine seeks a Data Analyst to work in close concert with the City Health Dashboard leadership team to support and grow a national interactive website to track health and health-related metrics at the city level, the City Health Dashboard (www.cityhealthdashboard.com) and the Congressional Districts Health Dashboard (in development). This will involve working with data at the federal, congressional district, county city, census tract, and census block levels; evaluating emerging data sets for creating novel health metrics; aggregating geographic data; and calculating robust health metrics that align with administrative boundaries.
The analyst should have R and SQL programming skills and knowledge and experience in geospatial analysis. SAS skills are also preferred. The employee must have strong organizational skills with the ability to carry out a variety of directed tasks.

Job Responsibilities:

        

      • Retrieving and evaluating data parsed to various geographic boundaries for use in Dashboard initiative websites with attention to issues of sample size, bias, and timeliness
      • Assist in the development, calculation, and validation of new health metrics
      • Documenting work flows and methodological challenges to generating health metric estimates across numerous geographies
      • Regular presentation of analytic processes and results to other team members
      • Assisting in preparing journal articles, reports, and policy briefs
      • Other analytic or research tasks as necessary

 

Minimum Qualifications:
To qualify you must have a A masters degree in a quantitative field (biostatistics, epidemiology, public health) required
Familiarity with commonly used community health metrics
Familiarity with U.S. administrative geographies (counties, congressional districts, Consolidated and Incorporated places, census tracts etc.) and geospatial
analysis
Skill and experience in R statistical software and SQL

Preferred Qualifications:
2-3 years' experience in an analytics role with database management experience
Skill and experience in SAS statistical software
Skill and experience with statistical analysis, including measures of uncertainty, validation, and regression analysis

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.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here.

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