We seek a highly motivated bioinformatician who is experienced in the analysis of large-scale biomedical omics data, using statistical methods and machine learning, and bioscientific data processing and programming. The candidate will conduct integrative stratification analyses of biomedical data, focusing on molecular, clinical and neuroimaging data for neurodegenerative diseases. This will include the review, set-up and application of software analysis pipelines, and the joint interpretation of disease-related data together with experimental and clinical collaborators. The project will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models. With the help of pathway-, network- and machine learning analyses, the goal is to improve the mechanistic understanding of molecular and cellular perturbations in common neurological disorders.