Research Software Engineer — Data for Social Good (Remote)

University of Chicago; Chicago (IL); Hybrid; USD 110,000 - 135,000; Full time

Job summary

The University of Chicago Data Science Institute (DSI) seeks a Research Software Engineer to build software that advances data science for social good, including resilient food systems, climate, and human rights.

You will collaborate with the software team and interdisciplinary researchers to develop new tools and scalable solutions for computational research and public impact projects, emphasizing high-quality, reusable code and robust engineering practices.

Qualifications

• Experience with Linux, Python and large codebases.
• Strong software engineering with web apps and APIs.
• Interest in data-driven research and ML/AI.
• Ability to work in hybrid environment with cross-disciplinary teams.

Responsibilities

• Design, develop, test, and debug complex software programs.
• Implement and optimize data-intensive algorithms.
• Deploy and maintain systems in simulated environments and on physical hardware.
• Diagnose and resolve complex system and software issues.
• Collaborate to improve software quality, testability, and fault tolerance.
• Manage multiple projects supporting faculty, postdoctoral researchers and students.

Skills

Linux

Python

Web development

APIs

Docker

Kubernetes

CI/CD

English communication

Education

Bachelor's degree in related field

Tools

Flask

Node.js

React

GIS tools

Git

Job description

The University of Chicago Data Science Institute (DSI) seeks a Research Software Engineer to build software that advances data science for social good, including resilient food systems, climate, and human rights.

You will collaborate with the software team and interdisciplinary researchers to develop new tools and scalable solutions for computational research and public impact projects, emphasizing high-quality, reusable code and robust engineering practices.