NYU Wagner prepares the world's public service leaders to translate ideas into actions that have an effective and lasting impact. We provide our students with critical skills, access to all that New York City has to offer, and a deep understanding of the context surrounding today's most complex and challenging issues. Our students use that to improve cities across the globe, in the public, private, and nonprofit sectors.
Position Description The Robert F. Wagner School of Public Service is seeking an individual with strong programming, data management, and analytical skills to work on a team using New York State Medicaid data to evaluate multiple health services and public health interventions. Responsibilities will include: downloading, merging, cleaning, documenting, and managing Medicaid fee-for-service claims and managed care encounter datasets; analyzing data quality and integrity; identifying and solving data quality problems; coding and creating new variables; preparing analysis files; producing statistical summaries, charts and tables. Other responsibilities, depending on candidate qualifications, may include estimating regression models and conducting analysis, including graphing, testing bivariate associations, missing data imputation, and longitudinal regression modeling. The position has potential for growth in responsibility and the opportunity to help plan, initiate, and manage analytical projects helping health systems improve their efficiency and effectiveness. The person would be part of a growing, mission-driven research team interested in improving health care in New York.
This position will be report to John Billings and Charles Neighbors, who are both NYU Wagner faculty. Billings is the director of Wagner's Health Policy and Management Program. He is the principal investigator on numerous projects to assess the performance of the safety net for vulnerable populations and to understand the nature and extent of barriers to optimal health for vulnerable populations. Neighbors recently joined NYU's faculty to create an applied research initiative involving both Wagner and the NYU Langone Medical School focused on evaluating innovations in the health sector using "Big Data."
*This is a grant funded full-time position and benefits eligible including NYU tuition remission. Annual reappointment is contingent upon grant funding.*
Qualifications Required qualifications include: Master's or doctoral degree in a related field. Demonstrated experience with SAS, SQL, Stata, or equivalent database or statistical language; experience with large database management; excellent interpersonal, organizational, communication, time management skills and ability to work in a team setting on diverse assignments. Experience with medical claims and other health administrative data preferred.
Please apply with a resume and cover letter. Writing sample may also be submitted.
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