The board
- Hours
- Part time
- Where
- Penn State University Park
- Posted
- 4 days ago
APPLICATION INSTRUCTIONS:
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Department of Health Policy and Administration in the College of Health and Human Development is seeking applicants for part-time job of Research Assistant- Health Services Research (Long-Term Care)
Position Description
The Department of Health Policy and Administration in the College of Health and Human Development at Pennsylvania State University is seeking a part-time Research Assistant to work with Dr. Jess Williams on a program of research examining Total Worker Health® (TWH) adoption and implementation in nursing homes.
What you'd do
- Conduct quantitative statistical analyses of survey and Medicare claims/administrative data, primarily in Stata (R also acceptable), including data management, cleaning, and merging of complex datasets.
- Support qualitative data analysis of interview transcripts with Directors of Nursing, including coding, theme development, and interpretation (training provided as needed).
- Conduct literature reviews and synthesize prior research to inform manuscript introductions, discussion sections, and grant proposals.
- Co-author and lead the drafting of peer-reviewed manuscripts, conference abstracts, and presentations reporting project findings.
- Contribute to the preparation of research reports, dissemination materials, and stakeholder communications for academic and nursing home industry audiences.
- Assist with the preparation of grant proposals and progress reports as opportunities arise.
- Participate in regular research meetings with the PI and project team.
- In progress or earned Ph.D. in Health Policy, Health Services Research, Public Health, Gerontology, Health Economics, or a closely related field.
- Demonstrated experience with statistical programming and quantitative data analysis (Stata strongly preferred; R acceptable).
- Strong written communication skills, with experience contributing to peer-reviewed manuscripts.
- Starts
- 2026-09-30