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.
Related specializations
Interview options
Interview options
Interviewee gender
Interviewee accent
Available on paid plans only
Interview time
Source
Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
Learn more
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
