Research Software Engineer

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.
• Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
• Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
• 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 5-7 years of work experience in a related job discipline.

Certifications:

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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:

• 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