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Computational Scientist and Bioinformatician

Pubblicato il 07-09-2026 - IFOM in Monza

IFOM is an internationally recognized non-profit cancer research institute supported by the Italian Association for Cancer Research (AIRC), based in Milan within a highly dynamic urban environment.
IFOM's continued success is ensured by the recruitment of highly selected undergraduate, graduate and post-graduate researchers from over 24 countries worldwide.
IFOM is hosted within a research campus shared with the European Institute of Oncology and the Italian Institute of Technology.
IFOM is committed to creating a safe and inclusive environment, based on mutual respect and the enhancement of diversity, offering equal job opportunities to all qualified candidates.
We seek for our Institute: Computational Scientist and Bioinformatician
The successful candidate will join the Computational Oncology and Bioinformatics Unit and report directly to the Head of the Unit. This is a permanent, full-time position with a central role in delivering bioinformatics and computational analyses across strategically relevant institutional, translational and collaborative research programmes at IFOM.




The Unit coordinates bioinformatics and computational medicine activities, promotes the development of advanced analytical platforms, integrates molecular and clinical data, and implements innovative research projects in collaboration with IFOM research groups and external clinical, academic and industrial partners.
The Unit operates as a research and development structure rather than a task-based facility. The candidate will therefore contribute as an integrated scientific partner throughout the research process, from study design and analytical planning to biological interpretation, dissemination and publication.
The Unit aims to generate clinically relevant knowledge and novel therapeutic opportunities by:
- integrating genomic, transcriptomic and other molecular data with clinical and phenotypic information;
- characterizing tumour evolution, heterogeneity, cellular plasticity, treatmen

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