Postdoctoral Fellow - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble Updating
Listed on 2026-10-16
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Research/Development
Data Scientist
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Title Postdoctoral Fellow - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble Updating
Appointment Status
Department
Location
Location Bloomington
Position Summary
Your primary duties will be to build reproducible, testable, sequential data-assimilating digital twin workflows under the direction of Dr. James
A. Glazier. You will implement patient-specific forecasting and rebasing pipelines, design anomaly-detection and residual-monitoring logic, infer unobserved state parameters, manage complex model ensemble interfaces, and coordinate computational infrastructure with national consortium collaborators.
60% Digital Twin Workflows & Data Assimilation:
Develop Python workflows for short-horizon forecasting and patient-specific rebasing; implement data-assimilation methods (Kalman/Bayesian updating); design anomaly detection and missing-information inference logic.
40% Software Engineering & Integration:
Build reproducible computational packages(CI/CD, containers, testing); manage ensemble interfaces; integrate workflows with external consortium platforms (Vivarium, QSP ); write technical publications.
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 11/02/2026
Expected Start Date
Posting Number
Supplemental QuestionsRequired fields are indicated with an asterisk (*).
- * Have you previously been employed with IU?
- Yes
- No
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