Senior Bioinformatics Engineer– Human Technopole


Job title: Senior Bioinformatics Engineer

Institute/University/Company: Human Technopole

Job description: We are seeking an experienced Bioinformatics Engineer to provide computational support to projects focusing on cancer pharmacogenomics and engaged in analysing data from genome-editing, pharmaco/functional-genomics and single cell transcriptomics screens.

The successful candidate will be able to implement and use new computational pipelines for pre-processing and quality control assessment of data from genome-editing screens, whole exome and whole genome sequencing databases, scRNA and bulk transcriptomic profiling, as well as developing new analytical methods and tools on an individual project needs’ basis.

Start date: 03/04/2023

Duration: 5 Years

Application deadline:  15/03/2023

Salary:  Competitive and with excellent tax benefits for applicants from abroad.

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Additional information: Human Technopole (HT) is 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 Centres: Neurogenomics, Computational Biology, Structural Biology, Genomics, 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.

The Iorio Group in the Computational Biology Research Centre at Human Technopole in Milan works at the interface of biology, machine learning, statistics and information theory with the goal of understanding and predicting how genomic alterations and molecular traits from other omics contribute to pathological processes, biological circuits’ 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 integration and the analysis of pharmacogenomics and functional-genomics datasets, with the objective of identifying new therapeutic targets, biomarkers and drug repositioning opportunities.