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NYU School of Medicine Department of Population Health Full-Time Paid Glide Year Population Health A


Application Deadline:

Oct. 31

Organization: NYU School of Medicine Department of Population Health

Position Description: The NYU School of Medicine Department of Population Health is seeking a student to work as an associate research scientist with a team using New York State Medicaid claims data to evaluate health services and public health interventions being implemented at providers and public health agencies across New York State. The student would participate in designing research and evaluation studies that guide healthcare providers in efforts to improve healthcare and public health delivery. Current projects include assessing the effectiveness of apps to help patients manage their chronic conditions, projects that assess new models of managing care for high-risk patients, and studies that look at the implications of new reimbursement approaches on the ability to provide effective care. The successful applicant will report to James Knickman and John Billings.

Responsibilities include:

  • Downloading, merging, cleaning, documenting, and managing Medicaid claims datasets

  • Analyzing data quality and integrity

  • Coding and creating new variables

  • Producing statistical summaries, charts, and tables

  • Working on teams to design projects and work with funders

Position Requirements:

  • Strong programming, data management, and analytical skills

  • Experience working with health insurance claims data and/or electronic health records

  • Experience with SAS, SQL, and Python programs

  • Experience analyzing very large data sets

  • Strong interpersonal, organizational, communication, and time management skills

Time Commitment: Full-time

Compensation: TBD (relative to skills and experience); includes benefits and eligibility for NYU tuition remission

Apply: To apply, please email your resume and cover letter to Natalie Covill.

natalie.covill@nyumc.org

 info@McatKing.com  |  Tel: 707 797 7008

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