Staff Data Scientist & AI Researcher (Hybrid)

The University Of Chicago; Chicago (IL); Hybrid; USD 90,000 - 120,000; Full time

Job summary

The University Of Chicago is seeking a Staff Data Scientist to support diverse research projects in AI/ML tooling, data analysis and open-source platforms. You will collaborate with faculty and researchers to translate requirements into scalable data science solutions and contribute to production-quality AI models.

The role emphasizes leadership, data governance, and working across clinical/biomedical data domains, with hybrid work arrangements in a research-focused environment.

Qualifications

• Experience with collaborative open-source projects and software engineering best practices.
• Experience in data science roles within academic, research, or health/science environments.
• Knowledge of biomedical and translational research data sources is a significant advantage.

Responsibilities

• Lead data interpretation from multiple sources.
• Develop and run software programs, notebooks and scripts for data transformation, integration, analysis and visualization.
• Build, validate and evaluate AI/ML models.
• Mentor and lead project teams; share best practices with peers and juniors.

Skills

Python

R

AWS

GCP

Education

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

Tools

Open-source data science platforms

Cloud environments

Job description

The University Of Chicago is seeking a Staff Data Scientist to support diverse research projects in AI/ML tooling, data analysis and open-source platforms. You will collaborate with faculty and researchers to translate requirements into scalable data science solutions and contribute to production-quality AI models.

The role emphasizes leadership, data governance, and working across clinical/biomedical data domains, with hybrid work arrangements in a research-focused environment.