Your role

The selected candidate will be part of an European consortium of clinicians, biologists and computational scientists that aims to personalize high-dose glucocorticoid therapy in children with acute immune-mediated diseases by comparing treatment regimens and identifying multi-omics biomarkers that predict individual treatment response and toxicity.

Through integrating clinical data, patient-reported outcomes, and multi-OMICS profiles, the project will generate predictive models to guide safer and more effective, individualized steroid use. As such, the candidate will be responsible for data harmonization, multi-omics integration as well as the development of machine-learning models for patient stratification and outcome prediction.

Moreover, complex multi-layered datasets shall be integrated into clinically actionable biomarkers and decision-support tools that underpin the project’s personalized treatment algorithms.