Research Software Engineering Lead — Data & ML Systems

uchicago; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

The University of Chicago's Data Science Institute is seeking a Research Software Engineering Manager to lead our internal engineering team across research initiatives and to establish software development best practices in a dynamic academic environment.

The role requires deep technical expertise in cloud computing, database design, web-based applications or machine learning, with influence on project selection and execution. Collaboration with researchers and external partners is essential.

Qualifications

• 7+ years of experience in a related software engineering discipline.
• Experience managing software engineering teams.
• Experience with cloud platforms (AWS, GCP or Azure).
• Experience with agile project management (scrum/kanban).
• Strong foundation in data platforms, data science, machine learning, and AI.

Responsibilities

• Manage a team of engineers and students contributing to projects across the Data Science Institute's activities of research, education, and partnerships driving the development of robust, scalable, core components.
• Provide mentorship to engineers and students and share your passion for staying on top of tech trends, experimenting with and learning new technologies.
• Establish processes to triage bugs, track software defects, and ensure their timely resolution. Define and steward technical standards and code quality.
• Oversee internal computing resources.
• Work closely with faculty, staff, and external organizations to develop novel research and act as the principal liaison to faculty research partners.
• Collaborate with external data science partner organizations on engineering projects.
• Develop, apply and communicate standards for evaluating project proposals based on technical merit and other institutional goals.
• Develop and communicate program priorities and performance standards and assess operations using these criteria.
• Participate and direct code review and code evaluation activities.
• Act a subject matter expert and technical lead on one or more areas of database design, cloud deployment, microservices, devops best practices.
• Monitors achievement of programmatic and operational goals. Directs the management of projects, as appropriate, including ensuring that all priorities are reasonably set and appropriately met.
• Manages relationships with faculty and researchers to address their needs, both to further develop existing services and to identify new opportunities.
• Performs other related work as needed.

Skills

Python

Node.js

C/C++

Data science

Machine learning

AI

Cloud computing

Education

Bachelor's degree or higher

Graduate degree in math, statistics, CS, or data science

Tools

AWS

GCP

Azure

Job description

The University of Chicago's Data Science Institute is seeking a Research Software Engineering Manager to lead our internal engineering team across research initiatives and to establish software development best practices in a dynamic academic environment.

The role requires deep technical expertise in cloud computing, database design, web-based applications or machine learning, with influence on project selection and execution. Collaboration with researchers and external partners is essential.