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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 tomed.nyu.edu, and interact with us onLinkedIn,Glassdoor,Indeed,Facebook,TwitterandInstagram.

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 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.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.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $75,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here