We invite applications for a data analysis support specialist to support quantitative research in biomedical and natural sciences.
The successful candidate will provide consulting and execute data analysis in research projects in various domains of natural sciences (life sciences, physics, chemistry). The primary mandate is to support research groups in need of data analysis by applying appropriate statistical, computational, and visualization methods, helping with experimental design, and making fundamental methodological advances. The position will involve hands-on data analysis and contributions to teaching (postgraduate courses), and will be hosted at sciCORE.
Our ideal candidate has a strong and diversified experience (postdoctoral level) in data analysis, in particular with applications involving analysis of complex data sets (multi-scale data) using machine learning, deep learning, and other advanced statistics. Experience in high-performance computing environments (Linux) and knowledge of R and Python are required. Previous work with imaging data or *omics data, and familiarity with at least one state of the art deep learning framework will be an asset. Given the important service aspect of the position, we expect our candidate to be flexible, proactive, capable of following several projects in parallel and to have a curiosity for natural sciences in general.