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 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.

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

The Department of Population Health at NYU Grossman School of Medicine seeks a Data Analyst to support the City Health Dashboard and Congressional District Health Dashboard projects. The analyst will support two national interactive websites that track health and health-related metrics, the City Health Dashboard () and Congressional District Health Dashboard ((Use the "Apply for this Job" box below).). This will involve working with data at the federal, congressional district, county, city, census tract, and census block levels;

aggregating geographic data; and rigorously calculating population health metrics that align with administrative boundaries. The analyst should have excellent R programming skills. We are especially seeking an analyst to support our geospatial analysis work. We are a dynamic and diverse team that values collaboration, growth, and passion for public health. We strive for a supportive environment that encourages team members to maintain high standards for the quality of their work while also maintaining a balance with other life priorities.

• Retrieving, analyzing, and evaluating health metric data parsed to various geographic boundaries for use in project websites with attention to issues of sample size, bias, and timeliness
• Exploring new geospatial calculation methods, monitoring administrative boundary updates, and generating geographic boundaries for website release
• Documenting workflows and methodological challenges to generating health metric estimates across various geographies
• Regularly presenting analytic processes and results to other team members
• Producing data analysis for and providing feedback on data visualizations and descriptions in communications materials, blogs, journal articles, reports, and policy briefs, including drafting sections of such materials as needed
• Providing background research, code development, and workflow testing for the team s data infrastructure systems, and maintaining existing R functions and SQL databases
• Providing background research, obtaining and wrangling data, writing code and conducting metric validation as part of the team s new metric research process
• Other administrative, analytic, or research tasks as necessary

To qualify you must have a A masters degree in a related field (biostatistics, epidemiology, public health) or equivalent combination of education and experience. Skill and experience in the R statistical programming software. Familiarity with commonly used public health metrics. Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts, etc.). Experience in R tidyverse packages, writing functions in R, SQL, and Git.

Demonstrated interest in public health and health equity. Ability to perform basic statistical and descriptive analyses and interpret the results. Ability and interest in working respectfully, reliably, and collaboratively with other team members on multiple projects simultaneously. Ability to be detail-oriented, organized, and take initiative on projects. This is a hybrid position. Candidates must be willing and able to commute to mid-town Manhattan at least once per week.

2-3 years  work, internship, or project experience in an analytics role. Familiarity with major US federal datasets. Ability to read manuscripts and technical documents and assess the validity of methodological approaches. Experience and interest in working with various types of geospatial data and performing common spatial manipulations (intersects, centroids, reprojections, buffers, etc.). An attitude of creative and collective problem solving and openness to new ideas.

Ability to be detail-oriented, organized, and take initiative on projects.

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…