APPLICATION CLOSING DATE: October 27th 2021
Computational sciences applied to biology and medicine are at the very core of the mission of HT. The Centre for Computational Biology has the goal of developing new mathematical and computational approaches for the analysis and interpretation of medical and biological data. Computational biology at HT is not just about developing new methods for data analysis, but more importantly, also about asking fundamental questions about biology and human health that can be addressed only using computational approaches, from mathematical modelling of dynamical systems to machine learning and Artificial Intelligence.
The Human Technopole is seeking a Research Bioinformatician to work on multi-omic data analysis, including single cell genomics, as part of the Omics Data Analysis and Integration Unit of the Centre for Computational Biology.
This newly created unit will support the data analysis efforts of the research groups in the Centre for Computational Biology. The unit will work with research teams in a collaborative fashion, performing bioinformatics analysis of a variety of data types, ranging from genomic and transcriptomic data, to epigenetics, single-cell profiling and proteomics. The team will rely on data generated by the ‘Data Generation and Experimental Validation’ unit within the Centre, in conjunction with the Genomics Core Facility of HT. The unit will also be involved in the analysis of data generated by external collaborators and publicly available data when required.
The successful candidate will focus, depending on their expertise, on the analysis of one or more of the following data from human samples and model systems:
The successful candidate will have expertise and a strong track record on the analysis of two or more of the data types highlighted above. Importantly, they will have the responsibility of setting up and maintaining reproducible and standardised pipeline for the analysis of the data. Solid programming skills in R and Python, appropriate statistical/mathematical background, familiarity with pipeline development, experimental data quality control, container systems, HPC and Linux systems are also required. The successful candidate will report to the Omics Data Analysis and Integration Unit manager and to the Head of the Centre for Computational Biology.
International candidates, women and members of ethnic minorities are particularly encouraged to apply.
As Research Bioinformatician in the Omics Data Analysis and Integration Unit of the Centre for Computational Biology the candidate will be responsible for:
HT offers a highly collaborative, international culture to foster top quality, interdisciplinary research by promoting a vibrant environment consisting of independent research groups with access to outstanding graduate students, postdoctoral fellows and core facilities.
HT is an inclusive employer that fosters diversity and engages systematically to ensure that equal employment opportunities are provided without regard to age, race, creed, religion, sex, disability, medical condition, sexual orientation, gender identity or expression, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. HT offers attractive conditions and benefits appropriate to a leading, internationally competitive, research organisation that promotes a collegial and open atmosphere.
The Human Technopole Foundation is based in Milan.
Please apply by sending:
For any inquiry about the call, please feel free to contact Prof Andrea Sottoriva at email@example.com (this email address should not be used to send applications).