AI-Driven Immune Digital Twin Scientist (Data Assimilation)

Indiana University; Bloomington (IN); On-site; USD 80,000 - 110,000; Full time

Job summary

Indiana University in Bloomington seeks an Assistant Scientist to develop AI-enabled immune digital twin workflows with data assimilation, Kalman/Bayesian updating, and ensemble updating under Dr. James Glazier.

You will implement patient-specific forecasting and rebasing, design anomaly-detection and residual-monitoring logic, manage complex model ensembles, and coordinate computational infrastructure with national collaborators; publication of technical work is expected.

Qualifications

• Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline.
• Proficiency in Python, Julia, R, or MATLAB and background in mechanistic modeling (ODE/dynamical systems/QSP/agent-based).
• Experience with inflammation, cytokine signaling, sepsis, or critical care biology is preferred.

Responsibilities

• Build reproducible, testable, sequential data-assimilating digital twin workflows.
• Implement patient-specific forecasting and rebasing pipelines; data-assimilation (Kalman/Bayesian) methods.
• Design anomaly-detection and residual-monitoring logic; infer unobserved state parameters.
• Manage complex model ensembles and coordinate computational infrastructure with collaborators.
• Write technical publications describing methods and results.

Skills

Python

Julia

R

MATLAB

Mechanistic modeling

Inflammation biology

Education

Ph.D. or equivalent terminal degree

Tools

CI/CD

Containerization

Unit testing

Job description

Indiana University in Bloomington seeks an Assistant Scientist to develop AI-enabled immune digital twin workflows with data assimilation, Kalman/Bayesian updating, and ensemble updating under Dr. James Glazier.

You will implement patient-specific forecasting and rebasing, design anomaly-detection and residual-monitoring logic, manage complex model ensembles, and coordinate computational infrastructure with national collaborators; publication of technical work is expected.