Assistant Scientist - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble
Listed on 2026-10-18
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Research/Development
Data Scientist
Assistant Scientist - AI-Enabled Immune Digital Twin Workflows,Data Assimilation, and Ensemble Updating
Appointment StatusNon-Tenure Track
DepartmentIU Bloomington Intelligent Systems Engineering
LocationBloomington
Position SummaryYour 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.
- 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.
- One year of successful postdoctoral research experience.
Please contact Professor James Glazier at glazier with questions regarding the position.
Salary and Rank100,000/Assistant Scientist
For Best Consideration Date11/02/2026
Posting NumberIU-
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