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Seeking Grad Student for Qualitative Coding, Transcribing, and Analysis

Thursday, July 09, 2020

The Collaborative Improvement and Innovation Network to Advance Care for Children with Medical Complexity (CMC CoIIN) housed in Boston University School of Social Work’s Center for Innovation in Social Work & Health is in search of a graduate student or PhD candidate to transcribe and code a recent set of focus group conversations and key informant interviews as part of the project’s overall evaluation. Family engagement is an important aspect of this HRSA-funded quality improvement project, and family focus groups have been employed to gather information to turn into action for improvements in family experience and amplification of family voice. Additionally, key informant interviews have been conducted mid-way through the project with members of each of the ten state teams participating in this project.

Project Details:

Experience: The team is looking for someone with transcription, coding, and qualitative data analysis experience. We encourage you to use NVivo for coding, though other software types will be considered. Please ensure that your experience with this qualitative methods is detailed in your resume.

Timeline: We are looking for students who are able to work at least 10 hours per week starting as soon as possible and continuing through this summer. Applicants must be in a degree-seeking graduate program at Boston University AND enrolled in Summer 2020 OR Fall 2020 courses. Specific start and end dates will be determined with the individual student applicants.

Location: Much of this work will be done remotely, though a space in the Crosstown Building (801 Massachusetts Ave, Boston, MA 02118) will be made available for the student employees, if desired.


Graduate students will receive between $15 and $20 per hour, based on experience level, for work on this project.

Please send your resume to Libbi Ethier, Program Manager for the CMC CoIIN, at [email protected] as soon as possible to apply for this position.