University of Chicago
Join to apply for the
Research Software Engineer
role at
University of Chicago .
University of Chicago provided pay range:
This range is provided by University of Chicago. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $102,000.00/yr - $129,000.00/yr
Department PSD Data Science Staff
About the Department The University of Chicago Data Science Institute (DSI) is a hub for scholars, researchers, educators, and practitioners tackling the methodological, societal, and domain‑specific challenges of our increasingly data‑driven world. As a leader in the field, DSI drives cutting‑edge research, fosters innovation in data education at all levels, and engages in meaningful partnerships with industry, government, and the broader community.
Job Summary The Research Software Engineer (RSE) will develop software to support DSI’s research priorities and specific initiatives related to Data & Democracy and data science for social good. The RSE will collaborate with the software team and interdisciplinary research groups across the University of Chicago to develop new software products and build robust, scalable solutions for computational research and public impact projects.
This role involves designing, developing, testing, and maintaining software, with an emphasis on high‑quality, reusable code. The ideal candidate will have experience working with substantial existing codebases, strong problem‑solving skills, and a keen interest in data‑driven applications, machine learning, and artificial intelligence.
This position is eligible for a partial remote work arrangement.
Responsibilities
Design, develop, test, and debug complex software programs.
Implement and optimize algorithms for data‑intensive research.
Deploy and maintain systems in both simulated environments and on physical hardware.
Diagnose and resolve complex system and software issues.
Execute feature requests independently, with guidance from the PI and project manager on goals and design.
Collaborate with team members to improve software quality, testability, and fault tolerance.
Manage multiple projects simultaneously, supporting faculty, postdoctoral researchers, and students in achieving their research objectives.
Design new systems, features, and tools. Solve complex problems and identify opportunities for technical improvement and performance optimization. Review and test code to ensure appropriate standards are met.
Act as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
Perform other related work as needed.
Education Minimum Qualifications
Minimum requirements include a college or university degree in a related field.
Work Experience Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
Preferred Qualifications Experience
Strong experience with Linux, Python, and at least one additional programming language.
Experience working with large, existing codebases.
Experience in building web applications and APIs.
Technical Skills or Knowledge
Knowledge of cloud computing platforms (AWS, GCP, Azure, etc.).
Proficiency in software development best practices, including version control (Git) and CI/CD pipelines.
Preferred Competencies
Strong project management, analytical, and problem‑solving skills.
Excellent written and verbal communication skills in English.
Ability to work effectively in a dynamic, hybrid work environment, collaborating with faculty, staff, students, and the broader UChicago community.
Familiarity with virtualization and containerization (Docker, Kubernetes, etc.).
Expertise in at least one of the following:
Expertise in at least one of the following:
Developing highly performant solutions to computational problems using Python, Rust, or Julia.
Modern frameworks for full‑stack web development, including backend (Flask, Node.js), front‑end (React, Angular), and/or GIS and spatial data visualization tools.
Building AI solutions, including chatbots, RAG, and other LLM‑based tools.
Interest in and experience developing software to support data‑driven research.
Application Documents
Resume/CV (required)
Cover Letter (preferred)
References (3 contacts) (preferred)
When applying, the document(s)
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.
Job Family Information Technology
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
FLSA Status Exempt
Pay Range $102,000.00 - $129,000.00
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.
The University of Chicago’s Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
Seniority Level Mid‑Senior level
Employment Type Other
Job Function Engineering and Information Technology – Higher Education
Referrals increase your chances of interviewing at University of Chicago by 2x.
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Research Software Engineer
role at
University of Chicago .
University of Chicago provided pay range:
This range is provided by University of Chicago. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $102,000.00/yr - $129,000.00/yr
Department PSD Data Science Staff
About the Department The University of Chicago Data Science Institute (DSI) is a hub for scholars, researchers, educators, and practitioners tackling the methodological, societal, and domain‑specific challenges of our increasingly data‑driven world. As a leader in the field, DSI drives cutting‑edge research, fosters innovation in data education at all levels, and engages in meaningful partnerships with industry, government, and the broader community.
Job Summary The Research Software Engineer (RSE) will develop software to support DSI’s research priorities and specific initiatives related to Data & Democracy and data science for social good. The RSE will collaborate with the software team and interdisciplinary research groups across the University of Chicago to develop new software products and build robust, scalable solutions for computational research and public impact projects.
This role involves designing, developing, testing, and maintaining software, with an emphasis on high‑quality, reusable code. The ideal candidate will have experience working with substantial existing codebases, strong problem‑solving skills, and a keen interest in data‑driven applications, machine learning, and artificial intelligence.
This position is eligible for a partial remote work arrangement.
Responsibilities
Design, develop, test, and debug complex software programs.
Implement and optimize algorithms for data‑intensive research.
Deploy and maintain systems in both simulated environments and on physical hardware.
Diagnose and resolve complex system and software issues.
Execute feature requests independently, with guidance from the PI and project manager on goals and design.
Collaborate with team members to improve software quality, testability, and fault tolerance.
Manage multiple projects simultaneously, supporting faculty, postdoctoral researchers, and students in achieving their research objectives.
Design new systems, features, and tools. Solve complex problems and identify opportunities for technical improvement and performance optimization. Review and test code to ensure appropriate standards are met.
Act as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
Perform other related work as needed.
Education Minimum Qualifications
Minimum requirements include a college or university degree in a related field.
Work Experience Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
Preferred Qualifications Experience
Strong experience with Linux, Python, and at least one additional programming language.
Experience working with large, existing codebases.
Experience in building web applications and APIs.
Technical Skills or Knowledge
Knowledge of cloud computing platforms (AWS, GCP, Azure, etc.).
Proficiency in software development best practices, including version control (Git) and CI/CD pipelines.
Preferred Competencies
Strong project management, analytical, and problem‑solving skills.
Excellent written and verbal communication skills in English.
Ability to work effectively in a dynamic, hybrid work environment, collaborating with faculty, staff, students, and the broader UChicago community.
Familiarity with virtualization and containerization (Docker, Kubernetes, etc.).
Expertise in at least one of the following:
Expertise in at least one of the following:
Developing highly performant solutions to computational problems using Python, Rust, or Julia.
Modern frameworks for full‑stack web development, including backend (Flask, Node.js), front‑end (React, Angular), and/or GIS and spatial data visualization tools.
Building AI solutions, including chatbots, RAG, and other LLM‑based tools.
Interest in and experience developing software to support data‑driven research.
Application Documents
Resume/CV (required)
Cover Letter (preferred)
References (3 contacts) (preferred)
When applying, the document(s)
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.
Job Family Information Technology
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
FLSA Status Exempt
Pay Range $102,000.00 - $129,000.00
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.
The University of Chicago’s Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
Seniority Level Mid‑Senior level
Employment Type Other
Job Function Engineering and Information Technology – Higher Education
Referrals increase your chances of interviewing at University of Chicago by 2x.
#J-18808-Ljbffr