Institutional Research Data Coordinator - College of Medicine

Institutional Research Data Coordinator - College of Medicine

Institutional Research Data Coordinator - College of Medicine

Hiring Department
:
Administration

Location
:
Chicago, IL USA

Requisition : 1038887

FTE
: 1

Work Schedule
:
Monday - Friday, 8:30AM - 5:00PM

Shift
:
Days

# of Positions
: 1

Workplace Type
:
Hybrid

Posting Close Date
:
January 19, 2026

Salary Range (commensurate with experience): $62,000. / Annual Salary

About the University of Illinois Chicago

UIC is among the nation’s preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI), and a Hispanic Serving Institution (HSI).

Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate, and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting‑edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent “Best Colleges” rankings published by U.S. News & World Report found UIC climbed in its rankings among top public schools in the nation and among all national universities.

UIC has nearly 260,000 alumni and is one of the largest employers in the city of Chicago.

This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.

Under administrative direction, organizes and conducts the preparation of complex mathematical models and research studies of university operations; analyzes and prepares results for publication or submission to administrators.

Duties & Responsibilities:

• Designs and implements statistical computations.
• Prepares or directs the preparation of tables and charts.
• Directs the gathering and analysis of data.
• Interprets data and trends, summarizes results, and prepares reports for submission to university administrators or for publication.
• Directs or performs the coding, testing, debugging, and documentation of mathematical computer programs for developed models (using linear, dynamic and/or stochastic programming techniques).
• Devises, recommends approval, and implements revised methods, procedures, and techniques for the section.
• May supervise assigned personnel.
• Performs other related duties as assigned.

Minimum Qualifications

Required:

• Bachelor’s degree in computer science, operations research, or other related fields with at least 12 semester hours in computer science and/or mathematical modeling OR Experience and/or training that provided knowledge, skills, and abilities comparable to those normally gained in one of the Bachelor’s degree programs listed above (1).
• One (1) year (12 months) of experience in operations research and/or mathematical modeling.

Preferred Qualifications:

• Knowledge of descriptive statistics.
• Knowledge of data management tools and Microsoft Office Programs.
• Knowledge in Tableau and Power BI.
• Skill in the development of mathematical models.
• Skill in the development of mathematical computer programs for mathematical models.
• Skill in interpretation of the results of analytical studies.
• Skills in data analytics and data visualization.
• Skills integrating data from multiple sources to produce unified and insightful reports.
• Skills to use AI tools effectively to solve problems and find information.
• Formal training in health sciences.
• Skill in the preparation of written or oral reports explaining the results of analytical studies.
• Ability to direct less experienced personnel in preparation of research studies and mathematical models.
• Ability to deal effectively with members of the university community.
• Ability to work independently and multitask.
• Ability to continuously learn in a rapidly changing technological environment.

To Apply: For fullest consideration click on the Ap…