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{"id":56190,"date":"2023-05-23T22:18:47","date_gmt":"2023-05-23T21:18:47","guid":{"rendered":"https:\/\/medjouel.com\/?post_type=jobpost&p=56190"},"modified":"2023-05-23T22:19:27","modified_gmt":"2023-05-23T21:19:27","slug":"postdoc-en-apprentissage-automatique-pour-la-pharmacogenomique-du-cancer-2","status":"publish","type":"jobpost","link":"https:\/\/medjouel.com\/en\/jobs\/postdoc-en-apprentissage-automatique-pour-la-pharmacogenomique-du-cancer-2\/","title":{"rendered":"Postdoc in Machine Learning for Cancer Pharmacogenomics"},"content":{"rendered":"

APPLICATION CLOSING DATE: July 3rd, 2023<\/u><\/strong><\/p>\n

Human Technopole (HT)<\/strong>\u00a0is a new interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centers: Computational Biology, Structural Biology, Genomics, Neurogenomics and Health Data Science. The Centers work together to enable interdisciplinary research and to create an open, collaborative environment that will help promote life science research both nationally and internationally.<\/p>\n

The Iorio Lab in the Computational Biology Research Centre at Human Technopole in Milan works at the interface of biology, machine learning, statistics and information theory; our goal is to understand and predict how genomic alterations and molecular traits from other omics contribute to pathological processes, biological circuits\u2019 rewiring and have an impact on therapeutic response in human cancers and other diseases. Our research aims at advancing human health by designing algorithms, computational tools and novel analytical methods for the\u00a0integration<\/a>\u00a0and the analysis of pharmacogenomics and functional-genomics datasets, with the ultimate objective of identifying new\u00a0therapeutic targets<\/a>,\u00a0biomarkers<\/a>\u00a0and\u00a0drug repositioning<\/a>\u00a0opportunities.<\/p>\n

We are looking for a highly motivated postdoctoral researcher with strong skills in Computational Biology to fill a\u00a0Postdoc- position<\/strong>\u00a0in the research team led by Francesco Iorio within the Centre for Computational Biology. This role will be actively interacting with the other HT research centres, as well as national and international collaborators, such as those involved in the\u00a0Cancer Dependency Map partnership<\/a>, whose broad goal is to systematically identify cancer vulnerabilities and dependencies that could be exploited therapeutically.<\/p>\n

The selected candidate will work on the development of new algorithms, analytical methods and tools for the analysis of data from perturbational screens performed on cancer pre-clinical models (cell-lines, organoids and patient derived xerographs) with various phenotypic readout (ranging from cell viability reduction, to sc-transcriptomics and spatial transcriptomics); will develop machine learning tools for the prediction of cancer dependencies and drug response from the integration of the aforementioned screens and the multiomic characterisation of the screened models; will interact with other research groups and prepare research products for manuscript submission and presentations to international meetings\/conferences.<\/p>\n

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Key tasks and responsibilities:<\/strong><\/p>\n