Research Scientist: AI-Driven Diabetes Modeling

Illinois Institute of Technology; Chicago (IL); On-site; USD 254,000 - 304,000; Part time

Benefits offered by this job

Tuition remission

On-site fitness centers

Job summary

Illinois Institute of Technology seeks a Research Scientist to advance modeling of glucose regulation and metabolic dynamics in diabetes research. You will integrate AI and systems engineering with biomedical informatics to analyze heterogeneous data from clinical and wearable sources.

The role emphasizes mathematical modeling, data interpretation, and collaboration across interdisciplinary teams, with a strong emphasis on scholarship and publications.

Qualifications

• Ph.D. in Biomedical Engineering, Chemical Engineering, or a closely related field.
• Minimum of six years of research experience in tissue biology and metabolic disease.
• Experience developing grant proposals and writing reports/manuscripts.
• Mathematical modeling and simulation of metabolic processes.
• Ability to interpret clinical, wearable-device, and CGM data.
• Familiarity with AI, systems engineering, and biomedical informatics methods.
• Strong scientific writing, analytical and collaborative skills.

Responsibilities

• Develop and refine mathematical models of glucose regulation and metabolic dynamics.
• Interpret results from clinical experiments and simulations related to glucose homeostasis.
• Analyze data from wearables and CGMs, linking findings to metabolic activity.
• Support research integrating AI, systems engineering, and biomedical informatics.
• Contribute to grant proposals, reporting, and preparing manuscripts.

Skills

Mathematical modeling

Data interpretation

AI & ML methods

Scientific writing

Collaborative research

Education

PhD in Biomedical Engineering

Tools

Python

MATLAB

R

Job description

Illinois Institute of Technology seeks a Research Scientist to advance modeling of glucose regulation and metabolic dynamics in diabetes research. You will integrate AI and systems engineering with biomedical informatics to analyze heterogeneous data from clinical and wearable sources.

The role emphasizes mathematical modeling, data interpretation, and collaboration across interdisciplinary teams, with a strong emphasis on scholarship and publications.