PostDoc in Bioinformatics, Biostatistics and Computational Biology

at  Universit du Luxembourg

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, exploiting the known grouping structures among features in the omics data, using dedicated approaches for structured data analysis. 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.
For further information, please contact: Enrico Glaab - enrico.glaab@uni.lu