Job:postdoc position in computational cancer biology in Milan, Italy
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The computational cancer biology lab of Martin Schaefer at the European Institute of Oncoglogy (IEO) in Milan, Italy, is seeking a highly motivated and talented postdoctoral researcher. The postdoc will develop and apply network-based methods to identify cancer driver events from genomic and epigenomic data.

Cancer is driven by alterations on all molecular levels. However, while our knowledge about the contribution of point mutations to the phenotypic hallmarks of cancer has advanced substantially over the last decade, we still need to solve the puzzle of how the numerous quantitative changes (eg epigenetic or transcriptional) and copy number alterations of larger genomic regions are related to cancer initiation and progression.

Candidates should hold a PhD (in a relevant area), have expertise in statistics, programming, and the analysis of cancer omics data. Interest in network biology and knowledge of data science techniques such as machine learning and being familiar with concepts of tumor evolution are a plus.

The European Institute of Oncology (IEO) is one of Europe’s leading cancer research institutes. The lab is in the Department of Experimental Oncology (DEO), which is located on the IFOM-IEO campus in a central location of Milan. The IEO hosts an international and vibrant research community (with a growing computational component). It is strong in genomics analyses, clinical aspects and mechanistic understanding of cancer. The IEO has an excellent HPC infrastructure and core facilities.

A competitive salary will be paid based on the qualification of the applicant.

More details on the position and our lab can be found on our homepage:

For informal inquiries or to send an application (which should include a CV, cover letter, a list of publications and contact details of 2 - 3 referees) please contact: The position is available immediately but the starting date can be negotiated. The deadline for applications is 20 January 2020.

cancer networks genomics epigenomics Job • 313 views

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