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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 support the Health Dashboard Initiative (HDI). The analyst will support a growing group of national interactive websites that track health and health-related metrics, including the City Health Dashboard (www.cityhealthdashboard.com) and Congressional District Health Dashboard (www.congressionaldistricthealthdashboard.org). This will involve working with data at the federal, congressional district, county, city, census tract, and census block levels; aggregating geographic data; and calculating robust health metrics that align with administrative boundaries. We are specifically seeking an analyst to support our geospatial and novel metric development work. The analyst should have R programming skills.

We are a dynamic and diverse team that values collaboration, growth, and passion for public health. We strive to be 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. We believe that high-performing teams include people from different backgrounds, and we actively seek a diverse pool of applicants, including those from historically marginalized groups.

Job Responsibilities

• Retrieving, analyzing, and evaluating health metric data parsed to various geographic boundaries for use in HDI websites with attention to issues of sample size, bias, and timeliness
• Assisting in the development, calculation, and validation of new health-related metrics
• Exploring new geospatial calculation methods, monitoring administrative boundary updates, and generating geographic boundaries for metric calculation
• Documenting workflows and methodological challenges to generating health metric estimates across various geographies
• Regularly presenting analytic processes and results to other team members
• Assisting in preparing communication materials, blogs, journal articles, reports, and policy briefs
• Other administrative, analytic, or research tasks as necessary

Minimum Qualifications

• 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
• Demonstrated interest in public health and health equity
• Experience and interest in working with various types of geospatial data and performing common spatial manipulations (intersects, centroids, reprojections, buffers, etc.).
• Ability to perform basic statistical and descriptive analyses
• Ability and interest in working respectfully, reliably, and collaboratively with other team members on multiple projects

Preferred Qualifications

• 2-3 years' work, internship, or project experience in an analytics role
• Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts etc.)
• Familiarity with commonly used public health metrics
• Experience in R tidyverse packages, writing functions in R, SQL, and GitLab/GitHub
• Ability to read manuscripts and technical documents and assess the validity of methodological approaches
• 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.