Computational Postdoc- Giustacchini Group

26 ago - Milano
Human Technopole

Build the science that shapes the future of human health.

Application closing date: 09.09.2026

FUNDED by Start up grant Fondazione AIRC

Join a place where ambitious science thrives

Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health.

Within this mission, the Giustacchini group investigates how leukaemia and the immune system interact to shape treatment response, with a particular focus on CAR T-cell fitness. In collaboration with Professor Persis Amrolia at University College London (UCL), we combine longitudinal clinical samples, single-cell multiomics and computational modelling to identify mechanisms that can improve cellular immunotherapies for paediatric leukaemia.

We are seeking an ambitious Computational Postdoc to lead the analysis of CAR T-cell samples from multiple clinical studies,



including longitudinal samples from patients receiving different CAR T-cell products and targeting strategies. This project builds directly on multimodal single-cell analyses initiated in the group and will extend the analysis of infused products and longitudinal samples across treatment. The successful candidate will integrate transcriptomic, surface-protein, CAR-detection and clinical data to define the cellular states and tumour-immune interactions associated with CAR T-cell expansion and therapeutic outcome.

Your mission

You Will Develop a Computational Programme To Define How CAR T-cell Intrinsic States And Bidirectional Interactions With Leukaemia And The Immune Microenvironment Shape Therapeutic Response. In Particular, You Will

Develop computational workflows for the analysis and integration of longitudinal single-cell and multiomic datasets from multiple CAR T-cell clinical studies, encompassing different CAR designs and targeting strategies.
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