Research Professional, EPIC
Listed on 2026-03-12
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Research/Development
Research Scientist, Data Scientist
About The Department
EPIC PREP
The University of Chicago Institute for Climate and Sustainable Growth (ICSG) is a groundbreaking effort uniting faculty from across the university to advance society’s understanding of our energy and climate future. The Institute combines faculty insights in energy markets and policy, climate systems engineering, and energy technology to produce world-changing ideas while also investing in the next generation of energy and climate thinkers, leaders, and innovators through novel educational programs.
Job SummaryThe Research Professional will report to an EPIC-affiliated faculty member at the University of Chicago Booth School of Business, the Kenneth
C. Griffin Department of Economics, the Harris School of Public Policy, or the University of Chicago Law School. Responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running simulations, and preparing manuscripts and presentations. This role performs routine assignments related to scientific research projects, ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives and mandates, analyzes possible solutions using standard procedures, writes articles, reports and manuscripts, and assists in drafting presentations on research findings.
- Cleans and analyzes data.
- Writes or finalizes replicable data files or scripts for publication.
- Ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives, and mandates; analyzes possible solutions using standard procedures.
- Assists with writing data analysis plans and contributes to preparing study registration documents.
- Supports the implementation of field experiments, including supporting the design and implementation of surveys, and monitoring the quality of data collected when needed.
- Supports with the writing of grant and policy reports and assists with drafting presentations of research findings.
- Takes responsibility for non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher-level skills and knowledge in the process.
- Maintains technical and administrative support for a research project.
- Analyzes and maintains data and/or specimens, conducts literature reviews, and assists with preparation of reports, manuscripts and other documents.
- Installs, sets up, and performs experiments; interacts with students and other laboratory staff under the direction of the principal investigator.
- Maintains recruiting and scheduling of research subjects; assists with developing or amending study protocols; assists with developing data collection tools; assists with building databases; and provides general administrative support. Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant scientific field.
- Performs other related work as needed.
Minimum requirements include a college or university degree in a related field.
Work ExperienceMinimum requirements include knowledge and skills developed through less than 2 years of work experience in a related job discipline.
Preferred Qualification- Bachelor’s degree in economics, public policy, or a related field.
- Master’s degree in economics, public policy, or a related field.
- Advanced coursework in economics or mathematics.
- 3 months to one year of work experience in a related job discipline. Experience gained through coursework may be counted as relevant experience.
- Background in econometrics.
- Familiarity in analyzing large data sets and applying econometrics methods.
- Previous research assistance experience contributing meaningfully to faculty research.
- Knowledge of machine learning techniques in data analysis.
- Familiarity with statistical analysis packages such as Stata, R, or Python.
- Advanced knowledge of research techniques and methods in a relevant scientific field.
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