Research Software Engineer
Department
PSD Data Science: Tech Administration
About the Department
Job Summary
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.
Develops, tests, debugs, and maintains new and existing application software.
Works independently to define and document project requirements and provides overall technical guidance in design, architecture and implementation of software solutions.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Experience:
Professional experience in software engineering or a related programming field.
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: Developing highly performant solutions to computational problems using Python; 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)
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
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
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
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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