Research Professional, EPIC

Department

EPIC PREP

About the Department

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 Summary

The 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 of 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. Assists in drafting presentations on research findings.

Responsibilities

• 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 the following 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. Assists with preparation of reports, manuscripts and other documents.
• Installs, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
• Maintains recruiting and scheduling research subjects; assisting with developing or amending study protocols; assisting with developing data collection tools; assisting with building databases; and providing 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 Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.

Certifications:

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Preferred Qualification

Education:

• 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.

Experience:

• 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.

Technical Skills or Knowledge:

• 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 relevant scientific field.

Preferred Competencies

• Understanding of academia and higher education in a research and teaching environment.
• Strong written and verbal communication skills.
• Manage multiple projects simultaneously and meet tight deadlines.
• Work both independently and as a team member.
• Excellent organizational skills and attention to detail.

Working Conditions

• In-person, office-based role on Hyde Park campus.
• Eligible for a partially remote work schedule.

Application Documents

• Resume/CV (required)
• Cover Letter (required)
• Two Professional References Contact Information (required)

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

37.5

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

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FLSA Status

Exempt

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Pay Range

$59,000.00 - $62,000.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

 

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

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