Postdoctoral Fellow - AI-Enabled Immune Digital Twin & Organ Damage Mechanistic Model

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Title Postdoctoral Fellow - AI-Enabled Immune Digital Twin & Organ damage Mechanistic Model

Appointment Status

Department

Location

Location Bloomington

Position Summary

AI-Enabled Immune Digital Twin & Organ damage Mechanistic Model Scientist:
Postdoctoral Fellow;
Biocomplexity Institute at Indiana University Bloomington (PI: Dr. James

A. Glazier)

Your primary duties will be to develop biologically meaningful, interpretable model components linking immune-state dynamics to organ-damage risk (lung, kidney, liver) in critical illness under the direction of Dr. James

A. Glazier. You will map clinical biomarkers to model states, define biological scoring criteria for digital twin ensembles, collaborate with national consortium partners, write technical publications, and prepare milestone-ready contract deliverables.

• 60% Dynamic Immune & Organ Modeling:
  Develop fast, interpretable ODE/network/mechanistic model modules linking immune dysfunction to organ injury; map clinical time-series and biomarkers to model states; formulate biological plausibility and scoring criteria.
• 40% Consortium Deliverables & Research:
  Prepare test cases, model packages, and model cards; write research papers; present findings; collaborate with national consortium partners in systems biology and clinical data science.

Basic Qualifications

Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline.

Programming proficiency in Python, Julia, R, or MATLAB; background in mechanistic modeling (ODE/dynamical systems, QSP, or agent-based); familiarity with inflammation, cytokine signaling, sepsis, or critical care biology.

Department Contact for Questions

Please contact Professor James Glazier at glazier with questions about the position.

Additional Qualifications

Salary and Rank

Salary and Rank 70,000/Postdoctoral Fellow

Special Instructions

For Best Consideration Date

For Best Consideration Date 11/07/2026

Expected Start Date

Posting Number

Required fields are indicated with an asterisk (*).

• * Have you previously been employed with IU?
  • Yes
  • No