Graduate Assistantship – Graduate Research Assistant/Associate
Position Information
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Title |
Graduate Assistantship - Graduate Research Assistant/Associate |
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Library Department |
Organizational Performance and Administration/Clemson University Libraries |
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Library Division |
Organizational Performance and Administration |
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# of Positions |
1 |
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Hours per Week |
10-15 |
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Base Pay |
$$TBD/Graduate Assistantship per hour |
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Length of Employment |
Spring 2026, Fall 2026 - Spring 2027, Summer Hours Are Not Required |
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Scheduling Information |
This position offers a unique opportunity to contribute to a significant research project with implications for the library field. The Graduate Research Assistant will report to the Project Principal Investigator. Tentative starting date for the position is March 2, 2026. |
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Position Description and Duties |
Project Overview This position supports a one-year, IMLS-funded mixed methods study examining the workforce of minoritized academic library support staff. The project builds upon the successful completion of a prior IMLS planning grant. Position Description: Graduate Research Assistant/Associate The Graduate Research Assistant will play a valuable role in the data analysis phase of the project. Some travel may be involved. Primary responsibilities include: • Data management and analysis: Assist the project team in developing a coding scheme to categorize and organize survey data. Employ descriptive statistics to summarize key survey responses. Help prepare initial reports and visualizations. • Data integration: Analyzing quantitative and qualitative data collected during the planning grant phase. Integrate data from external sources such as IPEDS, the U.S. Census, and the Bureau of Labor Statistics. • Dissemination: Assist in updating the project website with initial survey findings. Minimum Qualifications • Must be a currently enrolled, Clemson University graduate student • Bachelor’s degree in Statistics, Sociology, or a related field. • Strong quantitative and qualitative research methods skills. • Experience with statistical software packages (e.g., SPSS, R, STATA). • Experience with qualitative data analysis software (e.g., Dedoose, NVivo). • Excellent written and oral communication skills. • Ability to work independently and as part of a team. Preferred Qualifications • Experience with mixed methods research. • Familiarity with academic libraries and their workforce. |
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Additional Information |
Additional information will be detailed in the interview. |