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.

Job Responsibilities: • 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

• A Master’s degree in a related field (biostatistics, epidemiology, public health) or equivalent combination of education and experience

• Skill and experience in 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.

Preferred Qualifications:

• 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