The MayaTech Corporation Internship Program
The MayaTech Corporation is a social science research and consulting firm providing program support, applied research, evaluation, policy, and management services to principal operating components of the United States Department of Health and Human Services and national non-profit entities. We have designed and executed process, program, policy, and systems-level evaluations; implemented national training and technical assistance centers; created and managed health policy and legislative analysis information systems; and operated interactive Web-based dashboard projects.
Title: Health Policy and Legislative Analysis (HPLA) Intern
Department: Center for Health Policy and Legislative Analysis
Intern Manager: Manager for Health Policy and Legislative Analysis
Internship Duration: 10 weeks
Student Classification: ( ) Freshman ( ) Sophomore (x) Junior (x) Senior (x) Graduate Student
Academic Discipline: Government; Public Health
Primary Assignment: Policy Collection and Coding
Description of Opportunity: This internship will entail working with HPLA staff to learn about policy collection and coding. Primary policy focus areas will be tobacco, nutrition, physical activity, and obesity. Participate in primary searches, sorting for relevancy, and initial coding.
Qualifications: Candidates must have familiarity with basic government function and Microsoft Office. An interest in health policy. A perfect opportunity for those who seek an MPH or JD/MPH. Experience working with a legal database is a plus. Intern will be supervised by the Center Manager to ensure that intern gains an understanding of HPLA operations and the role it serves within MayaTech. Internship requires physical presence in our Silver Spring, MD corporate office.
- Learn about legislative policy collection and coding
- Learn how policy affects public health
- Learn how laws shape an overall public health program in a particular state
- Learn how policy can be broken down into its component parts
- Learn how policy can be matched with evaluation data to measure effectiveness