Computational Biologist

Job Description

The High Definition Disease Modelling Laboratory, led by Prof. Giuseppe Testa at the European Institute of Oncology (IEO), is looking for a highly motivated Computational Biologist.

The candidate will spearhead computational analyses for cutting edge projects in the context of Cancer Research (Ovarian Cancer, Thymoma, Glioblastoma Multiforme) and with a strong focus on organoid-based disease modelling and single cell multiomics. S/he will work in close interaction with wet lab biologists in the analysis of a diverse array of omics data, from the experimental design to the subsequent downstream analyses and including the development of new computational pipelines aimed at the integration of different omics sources.

Requirements

To apply, candidates must satisfy the following requirements:

  • PhD in Computational Biology, Systems Biology, Data Sciences or equivalent;
  • Strong knowledge in either Python or R programming;
  • Knowledge of UNIX environment and bash scripting;
  • Familiarity with code versioning systems (e.g. git);
  • Proven expertise in handling omics data (from QC to downstream analysis) on at least two of the following: single-cell RNASeq, single-cell ATACSeq, Bulk RNASeq, ChiPSeq, DNASeq (Whole Genome, Whole Exome, Targeted Resequencing), Methylation Arrays;
  • Proven experience of data analysis public datasets and repositories (e.g. TCGA);
  • Excellent teamwork skills in a multidisciplinary environment;
  • Strong organizational skills and propensity to structure analytical steps in well-documented and reproducible workflows;
  • Ability to manage competing priorities in a fast-paced environment and to work independently

The following additional skills will be considered a plus:

  • Previous usage of containers (Docker, Singularity or equivalent) for data reproducibility;
  • Experience with data visualization frameworks (Shiny, Dash or equivalent);

Experience with interactive graphical visualization libraries (D3JS, Plotly or equivalent)

Our site uses cookies for better browsing usability and statistics on its use. If you want to learn more, or refuse consent to all or some cookies, click here.