Assistant Scientist - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble Updating
Listed on 2026-10-16
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Research/Development
Data Scientist -
IT/Tech
Data Scientist, AI Engineer (Applied/Software)
Title Assistant Scientist - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble Updating
Location Bloomington
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.
Department Contact for QuestionsPlease contact Professor James Glazier at glazier with questions regarding the position.
Supplemental QuestionsRequired fields are indicated with an asterisk (*).
- * Have you previously been employed with IU?
- Yes
- No
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