Postdoctoral Fellow - AI-Enabled Immune Digital Twin Workflows, Data Assimilation, and Ensemble

Indiana University Bloomington; Bloomington (IN); On-site; USD 63,000 - 77,000; Full time

Job summary

Indiana University Bloomington seeks a Postdoctoral Fellow to develop AI-enabled immune digital twin workflows and reproducible data-assimilation pipelines under Dr. James A. Glazier.

You will implement patient-specific forecasting, rebasing logic, and ensemble updating while coordinating computational infrastructure with national consortium collaborators.

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.

Responsibilities

• 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.
• Build reproducible computational packages (CI/CD, containers, testing); manage ensemble interfaces; integrate workflows with external consortium platforms (Vivarium, QSP); write technical publications.

Skills

Python

Julia

R

MATLAB

Mechanistic modeling

Biomedical data analysis

Education

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

Tools

CI/CD

Containers

Vivarium

QSP

Job description

Title

Postdoctoral Fellow - AI-Enabled Immune Digital Twin Workflows,Data Assimilation, and Ensemble Updating

Appointment Status

Non-Tenure Track

Department

IU Bloomington Intelligent Systems Engineering

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 [e-mail] with questions about the position.

Salary and Rank

70,000/Postdoctoral Fellow

For Best Consideration Date

11/02/2026

Posting Number

IU-101732-2026