Fresh Listing

Posted: February 25, 2026 (1 day ago)

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Wellcome Research Assistant

State of South Carolina

Clemson University

Fresh

Location

South Carolina, 29210

Salary

$18.89 - $25

per hour

Closes

March 2, 2026

Job Description

Summary

This job is for a data analyst in a university lab focused on research in energy, environment, health, and policy, where you'll handle data cleaning, analysis, and creating visual tools like maps and dashboards to share findings with teams and the public.

It involves working closely with the lab director on important projects that cross different fields and collaborating with partners outside the lab.

A good fit would be someone with a background in data science or related areas who enjoys turning complex data into clear insights and has strong programming skills.

Key Requirements

  • Bachelor's degree in Data Science, Statistics, Economics, Public Policy, Engineering, Environmental Science, or related field (Master's preferred)
  • Proficiency in R or Python for data wrangling, analysis, and visualization
  • 1+ years of relevant experience in data science or related field
  • Familiarity with energy, environmental, or public health policy domains
  • Experience with spatial analysis tools like ArcGIS, QGIS, or geopandas
  • Ability to create reproducible workflows using GitHub and strong QA/QC practices
  • Skills in statistical modeling, including multivariate regression, time-series analysis, and causal inference

Full Job Description

OB 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.

Requirements

Education - High School or Equivalent

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).

Qualifications

Bachelor's degree in Data Science /Statistics/Economics/Public Policy/Engineering/Environmental Science (or related field) or master's degree

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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Posted on NEOGOV: 2/25/2026 | Added to FreshGovJobs: 2/26/2026

Source: NEOGOV | ID: neogov-sc-5249890