26-124 Research Data Engineer/Statistical Programmer Part-time

10 days ago

Fort Collins, CO, USAMid Level

Base Salary

$45k - $50k/yr

Responsibilities

Harmonize approximately 13,000 historical survey responses across 34 waves and three consistently structured hazard databases.
Develop and maintain variable crosswalks, codebooks, data dictionaries, change histories, and standard operating procedures.
Design and maintain a reproducible Stata and Python pipeline to import, clean, validate, harmonize, and append Qualtrics and other survey data.
Scale the processing system from approximately 15–20 survey waves to approximately 600 waves annually without substantial rewriting.
Preserve recruitment sources, survey waves, weights, quotas, and other available sample-design information.
Create automated quality-control checks and exception reports for variable, coding, metadata, duplicate-record, missing-value, and data-consistency issues.
Produce documented, analysis-ready datasets in Stata, R, and CSV formats and maintain code in an approved version-control environment.
Follow applicable Institutional Review Board requirements and collaborate with researchers and institutional partners in a remote environment.

Bachelor’s degree in data science, computer science, statistics, information science, social science, or a related field plus three years of relevant professional experience, or a relevant master’s degree.
Experience managing and programming data in Stata, including reproducible .do files, merges, appends, macros, loops, labels, and validation procedures.
Experience producing fully labeled, documented, and analysis-ready Stata files.
Experience writing data-processing or scientific software in Python or similar languages.
Experience developing reproducible and documented data-processing workflows.
Experience using version-control tools such as Git or GitHub.
Preferred experience with Qualtrics structures, exports, APIs, or metadata; multi-wave or multi-source datasets; confidential or human-subjects data; survey weights; sample-design variables; R; haven; tidyverse; and consistent Stata, R, and CSV outputs.
Experience with LLM-assisted programming tools, academic or government research settings, and social science research is preferred.
Strong technical writing, documentation, problem-solving, communication, independent-work, and collaboration skills are required.
Must be legally authorized to work in the United States for the entire project period.

Fully remote work arrangement.
Part-time position at 70% FTE, 28 hours per week.
Project period runs through April 2028, with a possible no-cost extension.
Colorado State University employee benefits, work-life-balance support, and additional employee perks are available.
Background checks are conducted for finalists before a final offer.

11-50 employees