Your role

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.

Your profile

• The candidate will have an MSc or equivalent degree in biostatistics, bioinformatics, computational biology, machine learning, or related subject areas
• Prior experience in large-scale data processing and statistics / machine learning is required
• Previous work and publications in bioinformatics analysis of large-scale biomed...