Description
Support research teams by acquiring, cleaning, analyzing, and documenting data; build reproducible pipelines, ensure data quality and compliance, and communicate insights through reports, visualizations, and dashboards.
- • Build, clean, merge, and manage research datasets and databases.
- • Develop reproducible ETL pipelines and data workflows in SQL, Python, or R.
- • Perform descriptive, inferential, and multivariate analyses per analysis plans.
- • Validate, audit, and document data quality; resolve anomalies and missingness.
- • Create codebooks, data dictionaries, and metadata.
- • Produce tables, figures, dashboards, and narrative summaries of findings.
- • Draft and maintain data management and statistical analysis plans.
- • Ensure compliance with IRB protocols, privacy regulations, and data use agreements; implement de-identification.
- • Source, acquire, and document external datasets and APIs.
- • Present methods and results to investigators and nontechnical audiences.
- • Automate recurring data refreshes and reporting.
- • Engineer features and recode variables to support modeling.
- • Build and validate statistical models; assess assumptions and diagnostics.
- • Design and analyze experiments, quasi-experiments, or A/B tests as applicable.
- • Advise on survey design, sampling, and data collection standards.
- • Develop data validation rules and monitoring dashboards for study operations.
- • Manage analytical computing resources, version control, and access permissions.
- • Train team members on data tools, coding standards, and reproducible practices.
- • Track data acquisition costs, software licenses, and compute utilization.
- • Collaborate with stakeholders to refine research questions and translate them into analytic tasks.
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Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
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Sources & Standards:
This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
