We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning.
The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in complex neurological and cancer disorders.
For further information about this role, please contact Enrico Glaab: enrico.glaab@uni.lu
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