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

Build reproducible, testable digital twin workflows that sequentially assimilate patient data, under the direction of James A. Glazier. About 60% of the role develops Python workflows for short-horizon forecasting and patient-specific rebasing, Kalman and Bayesian data-assimilation methods, anomaly detection and inference of unobserved states; about 40% covers software engineering and integration (CI/CD, containers, testing, ensemble interfaces) with external consortium platforms such as Vivarium and quantitative systems pharmacology models, plus technical publications.

Salary: 70,000 (Postdoctoral Fellow).

PhD or equivalent terminal degree in a quantitative, computational or biomedical discipline. Programming proficiency in Python, Julia, R or MATLAB; background in mechanistic modelling (ODE or dynamical systems, quantitative systems pharmacology or agent-based models); familiarity with inflammation, cytokine signalling, sepsis or critical-care biology. Applications include a CV, letter of application and list of references.