Back to jobsWe invite applications from highly motivated and outstanding students with a Master Degree’s or PhD (preferably but not mandatory) in one of the following disciplines: Bioinformatics or Computational Biology, Biomedical Engineering or Computer Science or STEM related disciplines.
Understanding of –omics data structures and modeling. Experience in -omics data analysis is preferably;
Experience in developing algorithms for data integration investigating disease-specific relevant markers, exploring dimensionality reduction methods to identify latent patterns and key features for clinical process improvement;
Good knowledge of machine learning and deep learning techniques (e.g. k-NN, SVM, Random Forests, CNN, autoencoders, etc.) applied to healthcare;
Good knowledge of statistical methods applied to medical data;
Good scripting and programming skills (R, Python, bash);
Working knowledge of containers technologies (Docker and/or Singularity);
Experience in cloud (GCP, AWS) and/or distributed computing (HPC) is appreciated;
Experience in pipeline development, of reproducible research (e.g. git) and/or reproducible software development is a plus;
Fluent in written and spoken English and Italian;