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Wellcome Research Assistant
Job in
Columbia, Lexington County, South Carolina, 29228, USA
Listed on 2026-02-28
Listing for:
State of South Carolina
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst
Job Description & How to Apply Below
Job Summary
The Greater Resilience, Innovation and Transformation Lab is hiring a Data Analyst to support research across energy, environment, health, and policy. Responsibilities include cleaning and integrating datasets; conducting statistical modeling; producing dashboards and GIS maps; and translating results for publications and stakeholders. Proficiency in R or Python and data visualization required; experience with SQL and spatial analysis preferred. Work directly with the Lab Director on high‑impact, interdisciplinary projects.
Job Duties- 50% - Essential - Data pipelines: acquire, clean, integrate, and document diverse datasets (e.g., utility/outage, climate/hazards, environmental, health, survey, administrative, and geospatial). Conduct statistical analysis and modeling: multivariate regression, panel/time‑series, experimental/survey analysis; experience with causal inference methods a plus. Create decision‑ready visualizations and products: dashboards, reports, figures, and GIS maps for internal and public audiences.
- 30% - Essential - Implement reproducible workflows (R/Python, Github) with strong QA/QC and data governance practices (code review, metadata, versioning). Summarize results for manuscripts, conference presentations, grant reports, and briefings.
- 20% - Essential - Collaborate across disciplines and with community/policy partners
; support student trainees as needed. Assist in writing reports and journal articles, including creating tables and summaries of research results.
- High School or Equivalent (minimum).
- Proficiency in R or Python for data wrangling, analysis, and visualization; demonstrated ability to produce clean, well‑documented code and compelling visualizations (e.g., ggplot/plotly, matplotlib/Altair, Tableau/Power BI).
- Bachelor's degree in Data Science/Statistics/Economics/Public Policy/Engineering/Environmental Science (or related field) or master's degree in the same field.
- Data Science/Statistics/Economics/Public Policy/Engineering/Environmental Science (or related field) and 1+ years of relevant experience; familiarity with energy, environmental, or public health policy domains.
- Spatial analysis (ArcGIS/QGIS, geopandas), map design, and spatial statistics.
- Survey design/analysis; experimental or quasi‑experimental methods; causal inference. Machine learning for tabular/time‑series data.
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