The Data Science Unit at the European Institute of Oncology (IEO) in Milan, Italy, invites applications for a Computational Research Fellowship in the field of precision oncology for glioblastoma. The position is fully funded by the FRRB Call 2024 “FROM BED TO BENCH: THE WAY TO INNOVATION”, within the project:
“Advancing Glioblastoma Treatment: the combination of Omics, Drug Screening, Liquid Biopsy, and Artificial Intelligence for Precision Oncology (GLIO-Screen)”.
The fellowship will support cutting-edge translational research aimed at developing innovative and personalized therapeutic strategies for glioblastoma, the most aggressive and common malignant brain tumor.
Project Overview
Glioblastoma (GBM) is among the most lethal human cancers, marked by extreme heterogeneity and poor prognosis. Despite decades of research, current treatments remain largely ineffective, and patient survival rarely exceeds two years. A major barrier to clinical progress lies in the challenge of identifying robust, actionable molecular targets within such a diverse and evolving disease landscape.
To address this, our team has developed an advanced drug screening (ADS) platform that leverages patient-derived preclinical models, including both in vitro cultures and in vivo systems. This platform enables systematic evaluation of therapeutic responses and resistance mechanisms.
The ADS approach is complemented by multi-omics analyses, encompassing genomic, transcriptomic, and epigenetic profiling, to uncover the molecular determinants of GBM heterogeneity and treatment resistance.
Together, these integrated methodologies aim to accelerate the translation of personalized medicine into effective therapeutic interventions for GBM patients.
Activities
The selected fellow will be trained and involved in:
- Analysis of multi omics data including RNAseq, WES, cut&tag and scRNAseq
- Contributing to data integration and translational interpretation within a multidisciplinary research team.
- Produce reproducible reports, documentation, and standardized datasets for internal and collaborative use
- Contribute to scientific publications and project dissemination
Candidate Profile
We are seeking a highly motivated and collaborative researcher with:
- a background in computational biology
- Experience in multi-omics data processing (e.g., RNA-seq + DNA-seq; proteomics / epigenomics is a plus)
- Knowledge of sequencing quality metrics, confounders, and bias control strategies
- Familiarity with best practices for cohort harmonization and multi-center integration
- strong communication skills and the ability to work in an interdisciplinary and international environment.
Contract information
- Position: Bioinformatician Fellow
- Funding: FRRB Call 2024 – “FROM BED TO BENCH: THE WAY TO INNOVATION” (GLIO-Screen project)
- Starting date: approx. June 2026
- Duration: 12 months (renewable)
Application procedure
- Apply directly through the IEO website;
- Additionally, please email your CV to: [email protected]
Posted on 15th April 2026