The data science unit at the European Institute of Oncology is looking for a motivated and talented data scientist. The successful candidate will join an international and multidisciplinary team. The goal of the Data Science unit is to provide support to internal and external research groups in the context of high-throughput sequencing data and microscopy data. We develop and apply statistical, machine learning methods and predictive models to tackle cutting edge questions in cancer genomics, clinical research and epigenetics. More information can be found here.
We are looking for a junior data scientist fellow to work on a project supported by Fondazione IEO-MONZINO ETS (FIEO).
The candidate will work on developing machine learning models to extract predictive biomarkers using multiplexed immunofluorescent microscopy data.
Requirements
- Bachelor Degree in computer science, bioinformatics, physics, mathematics, computational biology or similar.
- Programming skills in R and/or python.
- Experience in spatial trascriptomics analysis and image analysis.
Nice to have
- Proficient in Unix system.
- Experience in classical and deep learning tools (Random Forest, XGBoost, CNN etc.).
Working environment
The European Institute of Oncology (IEO) is one of the leading research institutes in Italy. IEO operates as a Comprehensive Cancer Center, linking fundamental and applied research to clinical activities, patient care and clinical trials. The Department of Experimental Oncology (DEO) hosts ~250 scientists working in 20 independent research groups and units. DEO is located within a scientific campus together with two other partner institutions: the FIRC Institute of Molecular Oncology (IFOM) and the Italian Institute of Technology (IIT). The IEO is one of the 13 members of the EU-LIFE alliance to promote excellence in life sciences in Europe. IEO is an equal opportunity employer committed to excellence through diversity.
Further info
Write to [email protected]
Posted on on 11th August 2025