Mots-Clés

bioinformatics machine learning PostDoc job

Description

We seek a highly motivated bioinformatician or biostatistician who is well versed in the analysis of biological data and bioscientific programming for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of Parkinson’s disease datasets, focusing on omics, neuroimaging and clinical data. This will include implementing and applying software analysis pipelines and jointly interpreting of disease-related data together with experimental and clinical collaborators. The project will use multiple layers of new biological high-throughput data from different patient subgroups and healthy controls. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in Parkinson’s disease.