R2026105376 IRISS Social Science Grad Researcher (Acadia)
IRISS is seeking one to two highly detail-oriented student workers to support data collection and analytic preparation for a mixed-methods research study involving parent caregivers of children with Rett Syndrome. This project is a multidisciplinary, multi-institution collaboration across Colorado State University, the University of Denver, and Children’s Hospital Colorado.
The position is supervised by the IRISS Director, Dr. Abigail Rolbiecki (Principal Investigator) and involves close collaboration with Dr. Tim Benke, a pediatric neurologist at Children’s Hospital Colorado, and Dr. Talia Thompson, a developmental psychologist at the University of Denver. The student will engage with a diverse research team spanning clinical, developmental, and social science disciplines.
This role is central to ensuring the integrity, security, and usability of study data across both quantitative and qualitative components; as such, experience or interest in mixed-methods research is highly desirable. The student will play a key role in supporting data collection (quantitative and qualitative), implementing quality assurance processes, and preparing datasets for analysis.
In collaboration with the research team, the student will assist in developing and maintaining structured data systems to support baseline, process, and outcome data collection, as well as tracking study participation and feasibility metrics. This position offers hands-on experience with research data infrastructure, including survey design, data quality monitoring, and coordination of mixed-methods data collection.
Department Name
Institute for Research in the Social Sciences
Anticipated Start Date
June 25, 2026, open until filled
Anticipated Weekly Hours
10-20
Required Job Qualifications
Current Graduate Student (PhD student preferred, though highly skilled masters-level students will be considered) in social science (social work, sociology, public health) or related field.
Strong attention to detail and organizational skills
Experience in Microsoft Excel
Ability to handle sensitive data confidentially and follow research protocols
Strong communication skills and ability to collaborate with a research team
Preferred Job Qualifications
Experience with REDCap, Qualtrics, or similar electronic data capture systems
Coursework or experience in research methods (quantitative, qualitative, or mixed-methods)
Familiarity with data cleaning or preparation for analysis
Exposure to statistical software (e.g., R, Stata, SPSS, SAS) and/or qualitative tools (e.g., Dedoose)
Experience tracking or managing research project data
CITI Training for Human Subjects Research (or willingness to complete upon hire)
Essential Duties
Data Capture & System Development
Assist in designing, building, and maintaining electronic data capture instruments (primarily in REDCap and/or qualtrics), including surveys and tracking tools
Support programming and testing of survey logic (branching, validation rules, required fields)
Help ensure instruments align with study protocols and data collection needs
Conduct qualitative focus groups and interviews as detailed in protocol
Data Quality Assurance & Monitoring
Conduct routine data quality checks to identify missing, incomplete, or inconsistent data
Apply data validation rules and assist in troubleshooting data issues
Track recruitment, retention, and participation metrics across study activities
Generate basic data summaries to support ongoing study monitoring
Data Management & Security
Organize and maintain structured datasets in accordance with IRB and institutional data security requirements
Assist in managing user access and maintaining data confidentiality
Contribute to documentation of data structures, coding schemes, and workflows
Analytic Preparation & Coordination
Prepare clean, well-documented datasets for descriptive and exploratory analyses
Support development of summary tables, feasibility metrics, and basic visualizations
Assist in preparing and organizing data files for qualitative analysis
Support qualitative data analysis
Help coordinate integration of quantitative and qualitative data to support mixed-methods interpretation
Team Collaboration
Work closely with the investigative team to resolve data discrepancies and improve data workflows
Support ongoing project needs as data collection and analysis evolve