Assistant Research Scientist

NYU Wagner prepares the worlds 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 todays most complex and challenging issues. Our students use that to improve cities across the globe, in the public, private, and nonprofit sectors.

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.

Job Responsibilities:

• Conduct analyses examining health and healthcare services
• Work effectively with large, complex administrative datasets to solve challenging problems
• Write programs to clean complex data and create analytic datasets from raw data
• Under supervision of research faculty conduct statistical analyses and present them to the team and collaborators.
• Support the development of publications and conference presentations, including drafting academic and nonacademic publications and creating tables and other data visualizations for presentations
• Perform reviews to ensure accuracy and completeness of data

Grant funded position with possibility of extension on an annual basis.*

• Masters degree in pertinent field (statistics; biostatistics; epidemiology; data science; healthcare economics)
• At least 2 years of work experience and/or research experience in a relevant setting.
• Strong quantitative skills and advanced programming skills in SAS, Stata or R
• Ability to select and apply appropriate statistical methods for collecting, summarizing, and analyzing data
• Excellent organization, time management, and communication skills.
• Knowledge of principles and methods of biostatistics; principles, theories, and procedures of epidemiology, including study design, statistical analysis, and causal inference.
• Ability to work both independently and as part of a collaborative research team.
• Experience with database queries and SQL is a plus.

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