Wellcome Research Assistant

Wellcome Research Assistant

Location:

North Charleston, SC

WELCOME TO CLEMSON! Clemson is calling…are you ready to answer the call? One of the most productive public research universities in the nation, Clemson University attracts and powerfully unites students, faculty and staff whose greatest desire is to make a difference in the lives of others. Clemson has recently been named a top 25 public college in the country by the Wall Street Journal, a top South Carolina employer by Forbes and a Military Friendly Employer for five years running.

Through our research, outreach and entrepreneurial projects, Clemson University and its employees are driving economic development and improving quality of life in South Carolina and beyond.

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.

• 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, Git Hub) 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.

• 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).

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

• Job Knowledge – Firm working knowledge of concepts, practices and procedures and ability to use in varied situations.
• Supervisory Responsibilities – No supervisory duties.
• Budgetary Responsibilities – No budget responsibilities.

• 90% – Sit (stationary position) for prolonged period.
• 10% – Communicate, converse, give direction, express oneself.

0% – None specified.

Standard

Hours:

28 hours, Monday‑Friday, between 8 am‑4:30 pm.

Expected Pay Range: $18.89/hr – $25/hr salary is dependent upon several factors including, but not limited to, a candidate's previous experience, knowledge, skills and performance in accordance with Clemson's compensation guidelines.

North Charleston, SC

March 1, 2026

Clemson University allows educational equivalency for military technical certifications and training that directly relate to the job duties. Veteran applicants may receive preference per state policy. To claim veteran preference, email hrjob upon submission of your application.

Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law, including disability and protected veteran status.

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