Geospatial Health Data Analyst (R, SQL)

NYU Langone Hospitals; New York (NY); Hybrid; USD 70,481 - 83,475; Full time

Benefits offered by this job

Hybrid position

Commuting to mid-town Manhattan weekly

Competitive benefits

Job summary

NYU Langone Health in New York City seeks a Data Analyst to support the City Health Dashboard projects and analyze health metrics across multiple geographic levels. Strong R skills and geospatial expertise are essential for rigorous population health estimates.

The role operates in a hybrid setting, requiring collaboration within a diverse team and occasional commuting to mid-town Manhattan to coordinate with stakeholders.

Qualifications

• Masters degree in biostatistics, epidemiology, or public health or equivalent
• Experience with R and public health metrics
• Familiarity with U.S. administrative geographies and geospatial data

Responsibilities

• Retrieving, analyzing, and evaluating health metric data parsed to various geographic boundaries for use in project websites with attention to sample size, bias, and timeliness
• Exploring new geospatial calculation methods and generating geographic boundaries for website release
• Documenting workflows and methodological challenges in health metric estimation across geographies
• Regularly presenting analytic processes and results to team members
• Producing data analyses for visualizations and written materials, including drafting sections as needed
• Maintaining R functions and SQL databases and supporting data infrastructure systems
• Supporting metric research through data wrangling, coding, and validation
• Other administrative, analytic, or research tasks as necessary

Skills

R programming

Geospatial analysis

SQL

Git

Tidyverse

Education

Master's degree in biostatistics, epidemiology, or public health

Tools

R

SQL

Git

Job description

NYU Langone Health in New York City seeks a Data Analyst to support the City Health Dashboard projects and analyze health metrics across multiple geographic levels. Strong R skills and geospatial expertise are essential for rigorous population health estimates.

The role operates in a hybrid setting, requiring collaboration within a diverse team and occasional commuting to mid-town Manhattan to coordinate with stakeholders.