Policy Data Science Lead (Visiting RA Professor)

University of Illinois at Chicago; Chicago (IL); On-site; USD 85,000 - 115,000; Full time

Job summary

University of Illinois Chicago seeks a Visiting Research Assistant Professor to serve as a senior technical lead on a project partnering with the State of Illinois. The role combines project management, applied data science, reproducible data engineering, and report writing.

The successful candidate will own the pipeline that turns claims submissions into analysis-ready data and translate results into statutory reports and peer-reviewed work.

Qualifications

• PhD in health-related field; start date contingent.
• Experience with large administrative claims datasets.
• Proficiency in at least one statistical language used for analysis at scale (R/Python/SAS/Stata).
• Experience with version control (Git) and reproducible analytic workflows.
• Strong scientific and technical writing ability.
• Ability to manage concurrent workstreams against firm external deadlines.

Responsibilities

• Own the data pipeline turning claims submissions into analysis-ready data.
• Lead analyses of transaction-level pharmacy claims, PBM features, and utilization patterns.
• Develop indicators and benchmarks for cross-PBM comparison.
• Design descriptive and inferential analyses for regulatory questions.
• Draft statutory and technical reports for the Illinois Department of Insurance.
• Prepare briefing materials for state agencies and legislative audiences.
• Contribute to peer-reviewed manuscripts and conference presentations.

Skills

Large data analysis

R/Python

Git/version control

Scientific writing

Project management

Regulatory communication

Education

PhD in health-related field

Tools

R

Python

SAS

Stata

Job description

University of Illinois Chicago seeks a Visiting Research Assistant Professor to serve as a senior technical lead on a project partnering with the State of Illinois. The role combines project management, applied data science, reproducible data engineering, and report writing.

The successful candidate will own the pipeline that turns claims submissions into analysis-ready data and translate results into statutory reports and peer-reviewed work.