Post-Doctoral Research Associate (Informatics - Center 4 Health Research)

Post-Doctoral Research Associate (Informatics - Center 4 Health Research)

Search extended until 7/13/2026

*Visa sponsorship is NOT available for this position*

Hiring Department: Center 4 Health Research

Location:  Peoria, IL USA

Requisition ID: 1037900

Original Posting Close Date: 1/22/2026

Extended Close Date: 7/13/2026

Salary: $43,888 to $68,964 per year

The University of Illinois College of Medicine Peoria (UICOMP) seeks candidates for the position(s) of Post-Doctoral Researcher at the Center 4 Health Research.

About the University of Illinois College of Medicine Peoria

The University of Illinois College of Medicine Peoria is a regional campus of one of the largest public medical schools in the United States. We are known for having small class sizes and exceptional faculty mentorship. This allows UICOMP students to excel under a rigorous curriculum. In collaboration with our hospitals and clinical partners, UICOMP Faculty members provide care to more than 45,000 patients each year. In addition, they contribute to medical education and training for more than 260 students, and more than 300 physician residents and fellows annually. UICOMP healthcare partners include Jump Simulation, a world-class leader in healthcare simulation and innovation, along with OSF Saint Medical Center, OSF Children’s Hospital of Illinois and Carle Hearth Greater Peoria. UICOMP is also part of a R1 research institute with translational research focusing on Alzheimer dementia and oncology.

Learn more about how the University of Illinois College of Medicine Peoria is helping to transform healthcare here: https://peoria.medicine.uic.edu/.

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.

Position Summary

This postdoctoral position will play a critical role in designing, implementing, and analyzing research projects focused on identifying and addressing health disparities, with an emphasis on patient-centered digital health interventions (such as Epic MyChart). This role also provides an opportunity to apply advanced informatics, artificial intelligence, human-computer interaction, and data science methods to understand and mitigate health disparities, enhance patient engagement, and improve outcomes through digital health innovations. The successful candidate will collaborate with a multidisciplinary team and contribute to building evidence that informs policy and practice.

Duties & Responsibilities

• Scholarly Activities: Prepare manuscripts for peer-reviewed journals and present research findings at national and international conferences. Assist in the development of grant proposals to secure funding for current and future research projects.
• Career Development & Mentorship: Work with the Supervisor to develop a personalized professional growth plan with opportunities for publications, presentations, grant development, and career advancement.
• Research Design & Implementation: Develop and support mixed-methods research strategies to identify and address health disparities, particularly in rural and urban populations, through patient-centered and community-informed approaches.
  
• Survey & Data Collection: Design and implement survey tools such as REDCap or Qualtrics, and collect, manage, and analyze diverse datasets, including EHR (EPIC), surveys, interviews, and population-level data. Qualitative & Quantitative Analysis: Conduct interviews or focus groups, perform statistical and thematic analyses, and apply appropriate models (e.g., regression, ANOVA) to explore outcomes and associations.
  
• Digital Health & Informatics: Leverage data from EHRs, patient portals, mobile health apps, and wearables to generate insights, predictive models, and decision-support tools; collaborate with informatics teams to evaluate and optimize digital intervention.
  
• AI, Predictive Modeling & Data Visualization: Utilize methods such as machine learning / predictive modeling to identify trends or high-risk groups, and develop interactive dashboards (e.g., Tableau, Power BI, R, SAS) to communicate findings.
  
• Open Science & Data Stewardship: Maintain reproducible