Part-time Research Assistant
The Learning Accelerator d/b/a FullScale Learning
•$45•Remote
About The Position
As a Research Assistant at FullScale, you will support qualitative and quantitative data management and analysis for K-12 research projects. The role requires strong attention to detail, comfort working with complex and imperfect datasets, and the ability to follow structured protocols while collaborating closely with researchers. This position offers an excellent opportunity for individuals looking to enhance their experience in educational research and mixed-methods analysis.
Requirements
- Experience working with qualitative and quantitative data, including cleaning, organizing, and preparing datasets for analysis.
- Comfort following human subjects research protocols and contributing to high-quality, practice-connected research.
- Communicate clearly and professionally in both written and verbal formats.
- Strong attention to detail and can accurately document data processes, flag inconsistencies, and support the preparation of research outputs.
- Able to manage multiple tasks, meet deadlines, and produce high-quality work with minimal oversight.
- Take ownership of responsibilities and are careful, thorough, and consistent in approach.
- Team player comfortable working in a fast-paced, remote environment.
- Flexible, responsive to feedback, and able to navigate ambiguity while maintaining focus on deliverables.
- Value diverse perspectives and are committed to supporting inclusive research practices that reflect and respect the experiences of learners and communities.
Responsibilities
- Cleaning and structuring survey data and qualitative transcripts
- Preparing and merging survey and demographic datasets
- Generating summary statistics and basic analytic outputs
- Supporting mixed-methods integration across data sources
- Reporting and dissemination support, including development of data visualizations
- Developing cross-site data documentation
- Managing SIS and student outcome data intake
- Cleaning, standardizing, and merging multi-site qualitative and quantitative datasets
- Maintaining codebooks and decision logs
- Producing summary statistics by site and subgroup
Benefits
- No benefits
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Education Level
No Education Listed
