Data-Driven EnviroLab Temporary Research Specialist/Data Analyst

University of North Carolina - Chapel Hill

Elkins Hills (NC)

On-site

USD 30,000 - 34,000

Full time

5 days ago

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Job summary

University of North Carolina at Chapel Hill’s Data-Driven EnviroLab seeks a Research Specialist/Data Analyst to support interdisciplinary research on environmental, climate, energy, and sustainability issues.

You will collect, clean, and analyze large datasets using R and/or Python, develop reproducible workflows, and create dashboards and data products for researchers, policymakers, and the public.

This role is ideal for recent BS/BA or Master’s graduates pursuing applied research experience.

Qualifications

Bachelor's degree in a related field or equivalent experience.
Experience with large datasets and reproducible workflows.
Strong programming skills in R or Python.
Knowledge of geospatial methods is a plus.

Responsibilities

Develop and maintain research datasets by integrating diverse data sources.
Build and maintain data pipelines using APIs, web scraping, automated collection, cleaning, classification, and validation methods.
Conduct quantitative, statistical, and geospatial analyses (regression, panel-data, ML, spatial analysis).
Create dashboards, visualizations, and data products for researchers, policymakers, and the public.
Contribute to research reports and publications.

Skills

Python

Data cleaning

Data pipelines

Geospatial analysis

GitHub

APIs

Education

Bachelor's degree

Tools

GitHub

APIs

Web scraping

Databases

Job description

About the University

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.

One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events.

Mission

The UNC Institute for the Environment (IE) has a multifaceted mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing of knowledge, and identifies solutions to the world's critical environmental problems. (2) To work in partnership across UNC and with external partners to coordinate and deliver 21st century educational programs that provide students with the experience and skills to thrive in a growing global economy. (3) To put new environmental knowledge into action by engaging and serving communities, here in North Carolina and around the world. (4) To fuel and harness the university's sustainability activities through the Sustainable Carolina Initiative

Position Summary

This position may be eligible for a hybrid work arrangement that may include a partially remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station.

The Data-Driven EnviroLab (DDL) at UNC-Chapel Hill seeks a Research Specialist with a data science focus to support interdisciplinary research on environmental, climate, energy, and sustainability issues. The position will work across projects that use large and heterogeneous datasets to understand environmental and policy challenges, develop reproducible analytical workflows, and translate research findings into accessible tools and outputs for researchers, policymakers, and the public.

This Data Scientist/Research Specialist position is ideal for recent BS/BA or Master's graduates and early-career professionals interested in strengthening their applied research skills, including those considering doctoral study. The candidate will use R and/or Python to collect, clean, integrate, manage, and analyze data from multiple sources; apply quantitative, statistical, and, where relevant, geospatial methods; and contribute to data products, visualizations, and research outputs.

Develop and maintain research datasets by integrating administrative, web, geospatial, policy, and other public or proprietary data sources, with attention to data quality, documentation, and reproducibility.
Build and maintain data pipelines using APIs, web scraping, automated collection, cleaning, classification, and validation methods.
Conduct quantitative, statistical, and geospatial analyses to study environmental, economic, health, and policy questions; depending on the project, methods may include regression, panel-data analysis, machine learning, and spatial analysis.
Create dashboards, visualizations, and other data products that translate complex datasets and findings into accessible information for researchers, policymakers, and the public.
Contribute to research reports, academic publications, presentations, and other outputs produced by the interdisciplinary team.

One current application of this work is DDL's U.S. Data Center Dashboard, which tracks data center facilities and state and local policies related to data center development and may expand to incorporate community awareness and responses. In this project, the Research Specialist may help develop and validate facility and policy datasets, analyze environmental, health, economic, and policy implications, and support continued dashboard development. The position may also contribute to other DDL research projects as needs evolve.

Minimum Education and Experience Requirements

Bachelor's degree in a discipline related to the area of assignment; or equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions.

Management Preferences

Coursework in Computer Science, Statistics, Data Science, Economics, Environmental Science, Geography, Public Policy, or another quantitative or computational field
Strong programming skills in R or Python with experience working with large or complex datasets, including data cleaning, merging, quality assurance, documentation, or reproducible workflows
Experience with quantitative or statistical analysis (e.g., regression, panel-data analysis, machine learning) or geospatial analysis (e.g., geographic coordinates, vector or raster data, spatial joins)
Experience with research data tools or workflows such as Git/GitHub, APIs, web scraping, databases, or automated data collection.
Ability to communicate technical findings clearly in an nterdisciplinary team

Campus Security Authority Responsibilities

Not Applicable.

Equal Opportunity Employer Statement

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

Compensation & Work Details