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Computational Postdoc- Giustacchini Group

Pubblicato il 10-09-2026 - Altro in Milano

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.
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.
Characterise CAR T-cell composition, activation, differentiation, fitness, expansion, persistence and dysfunction, integrating RNA, surface-protein, CAR-detection, and clinical information.
Resolve bidirectional CAR T-leukaemia and immune-cell crosstalk, linking CAR T-cell states to tumour and immune composition at matched time points to identify mechanisms of response, resistance and persistence for functional validation.
Lead the interpretation of complex datasets and contribute to manuscripts, grant applications and collaborative translational studies with clinical and academic partners.
Grow Your Skills
The successful candidate will join a multi

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