HPC Internship Program file size 1MB
Applications accepted on a rolling basis throughout the year.
Research Associate/Programmer, Research and Cost Trends
The HPC seeks a Research Associate/Programmer to join the HPC’s Research and Cost Trends team and to assist in generating the high quality, objective research and analysis that is needed to support the HPC’s mission of monitoring health reform efforts and developing innovative health policy in Massachusetts. The Research Associate/Programmer will contribute to all aspects of the HPC’s research process and will bring specific expertise in quantitative analysis.
Examples of previous HPC reports can be found here: http://www.mass.gov/anf/budget-taxes-and-procurement/oversight-agencies/health-policy-commission/publications/
At minimum, duties will include:
- Contributing to the design of research projects that employ rigorous econometric methods
- Writing sections of reports, white papers, and articles
- Writing SAS, SQL, and/or Stata programs and using Excel to analyze data
- Acquiring data from various sources
- Transforming data into research-ready data sets
- Identifying and reviewing research and policy literature to develop methods and assess research conclusions Managing the research process
- Communicating results orally and in writing to a variety of audiences
The candidate must be a good fit for the HPC’s start-up environment; candidates will be collaborative, adaptable, entrepreneurial, self-motivated, and passionate about health policy.
The ideal candidate has progressive experience working in health policy research and a strong background in programming, including expertise in the following areas:
- Two years of relevant experience in health policy research or programming
- A master’s degree in Economics, Statistics, Public Policy or another relevant field OR a bachelor’s degree with an additional two years of relevant full-time professional experience
- Quantitative and qualitative social science research methods, including economic modeling and econometric methods.
- Creating integrated data bases using data from multiple sources.
- Programming using standard statistical software.
- Review of research literature.
- Written and oral communication.
- Project management.