Postdoc: AI-Driven Immune Digital Twin & Ensemble Updating

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

Job summary

Indiana University in Bloomington seeks a Postdoctoral Fellow to lead AI-enabled immune digital twin workflows, data assimilation, and ensemble updating. You will build reproducible Python workflows, implement forecasting methods, and coordinate complex model ensembles with national consortium partners.

The role combines software engineering with quantitative biology, requiring a Ph.D. in a quantitative, computational, or biomedical field and proficiency in Python, Julia, R, or MATLAB.

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

Data assimilation

Kalman updating

Bayesian updating

Mechanistic modeling

Agent-based modeling

Inflammation biology

Education

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

Tools

Vivarium

QSP

Job description

Indiana University in Bloomington seeks a Postdoctoral Fellow to lead AI-enabled immune digital twin workflows, data assimilation, and ensemble updating. You will build reproducible Python workflows, implement forecasting methods, and coordinate complex model ensembles with national consortium partners.

The role combines software engineering with quantitative biology, requiring a Ph.D. in a quantitative, computational, or biomedical field and proficiency in Python, Julia, R, or MATLAB.