Bioinformatics postdoc with PG Pelicci in Molecular Oncology

European Institute of Oncology, Milan
Job Location
Via Adamello 16
20139 Milan MI
Job Description

The group extensively investigates molecular mechanisms involved in the onset and progression of cancer, in particular Acute Myeloid Leukemias, Breast Cancer and Melanoma. Points of particular interest are the study of chromatin modifications and modifiers, metabolism and DNA replication. The experimental methodology ranges from mouse models (primary xenotransplants and genetically modified mice) to clinical and epidemiological data. In recent years the group has extensively applied high throughput RNAi screenes and clonal tracking via viral barcoding to characterize cancer-initiating cells and unbiasedly identify driver and targetable genes in vivo (Bossi et al Cancer Discovery 2016). The successful candidate is expected to identify a primary area of interest but also  integrate with other ongoing research projects in the group.

The candidate shall operate within the IFOM-IEO-IIT campus, within a large and expanding bioinformatics community. State-of-the-art facilities for sequencing are available (Illumina and ION Torrent instruments). The institute has also access to the Oxford Nanopore MinIon Access Program for single-molecule nanopore sequencing, providing a rare opportunity to develop methodologies for a platform that is not yet commercially available.



The ideal candidate for this position should have experience in the analysis of large genomic and epigenomic datasets.

The applicant must have excellent analytical skills, a strong statistical background, ability to work independently and as part of a team, very good oral/written communication and interpersonal skills to efficiently interact with the experimental collaborators and write and/or contribute to production of research reports and publications for peer reviewed journals. In particular, the applicant should have:

  • Experience in software and algorithm development
  • Strong programming skills in at least one of the following languages: Python, Perl, Java, C++
  • Experience of statistical analysis softwares (R or Matlab)
  • Proficiency in Unix/Linux operating systems
  • PhD degrees in Computer Science, Engineering, Mathematics, Statistics or Physics are preferred.


How to Apply


For further info or to arrange an informal interview, please write to

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