Staff Data Scientist & AI Researcher — Hybrid Remote Translational AI

University of Chicago; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

The University of Chicago seeks a Staff Data Scientist to support diverse research projects, designing algorithms and AI/ML workflows for translational data science. You will harmonize data from multiple sources, visualize data, and develop tools for large-scale data analysis in collaborative settings.

Ideal candidates have extensive experience in Python/R and open-source platforms, with strong communication skills and a track record mentoring teams and advancing data-driven research.

Qualifications

• Minimum requirements include a college or university degree in related field.
• Minimum 5–7 years of work experience in a related job discipline.
• Advanced degree strongly preferred in a quantitative field.

Responsibilities

• Lead interpretation of data from multiple sources.
• Develop and maintain software programs, notebooks, scripts for data transformation and analysis.
• Build, validate and evaluate AI/ML models.
• Lead data science projects and share best practices with peers.

Skills

Python

R

ML

Data Visualization

Open-source

Cloud Environments

Education

Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, or relevant field

Bachelor's degree in related field

Tools

Gen3

NCI Genomic Data Commons

AWS / GCP

Job description

The University of Chicago seeks a Staff Data Scientist to support diverse research projects, designing algorithms and AI/ML workflows for translational data science. You will harmonize data from multiple sources, visualize data, and develop tools for large-scale data analysis in collaborative settings.

Ideal candidates have extensive experience in Python/R and open-source platforms, with strong communication skills and a track record mentoring teams and advancing data-driven research.