26-124 Research Data Engineer/Statistical Programmer Part-time
Core
Develop and maintain a reproducible data-management system for survey data on public perception of hazardous weather, harmonizing historical databases and processing new survey waves.
Role type
Part-time Research Data Engineer / Statistical Programmer
Builds
Reproducible data pipelines and analysis-ready datasets for flood risk communication research
Domain
Social science research / Weather and climate / Survey methodology
Required skills
Stata programming, Python, data harmonization, version control (Git/GitHub), reproducible workflows, data validation, survey metadata management
Preferred skills
Qualtrics experience, longitudinal dataset harmonization, survey weights, R programming, LLM-assisted programming, academic research environment experience
Technologies
Stata, Python, R, Qualtrics, Git, GitHub
Responsibilities
Review and harmonize historical survey responses into structured databases; Develop and maintain a master variable crosswalk; Design reproducible data pipelines for importing and cleaning survey data; Process new survey waves and scale the system; Incorporate vendor-provided samples; Establish procedures for managing changes to survey questions and data structures; Create automated quality-control checks; Produce documented analysis-ready data files; Maintain processing code and documentation in version control.
Seniority
Mid-level (3+ years experience required)