The Neural Stem Cell group at the University of Milan (Department of Physiopathology and Transplantation) is looking for an independent and motivated bioinformatician who should use, develop and apply computational tools to study primarily next-generation single-cell and omics data. The Neural Stem Cell lab is located in the campus of Policlinico Maggiore Hospital, in Milan, Italy. The lab focuses on understanding the molecular mechanisms of neuromuscular and degenerative rare diseases using a combination of genetics, genomics, proteomics and functional 3D organoid and animal models. To learn more, please visit our website.

Role description: The Scientist will be involved primarily in genomics projects that involve the characterization and/or study the expression profile of human biological specimens (spatial omics), human model organisms (bulk and single cells RNA data) and mouse models (bulk RNA data) generated by the latest generation of sequencing and mapping technologies. The group actively participates in projects of national and international importance. Further, the scientist will explore data from database system(s) and public repositories to integrate multilevel omic data.

Primary Job Duties & Responsibilities:
• Provide general bioinformatic analysis support for omic projects and be mainly responsible for data analysis and software compilations including next generation sequence alignment, expression analysis, and visualization tools and browsers.
• Summarize data analyses results in the form suitable as the basis for the first draft of written reports and make preliminary interpretations of the data.
• Help to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology.

Minimum requirements:
• PhD in biotechnology, computational biology, bioinformatics, computer science, statistics, or related field.
• Good experience with bioinformatic analyses
• Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment, Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus.

Preferential requirements:
• Background in genetics or genomics
• Previous experience analyzing NGS sequencing data
• Previous experience analyzing Nanopore data

Salary: Assegno Universitario, tipo A integrato.
Job location: via Francesco Sforza 35, 20122, Milan.
Contacts: for further information and to send applications: detailed CV and motivation letter
to stefania.corti@unimi.it
Application deadline: 20th November 2024