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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages
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transcriptomics data analysis Experience working in Unix/Linux environments Experience in R statistical language Desirable but not required/ Nice to have Hands-on experience in basic molecular biology Hands
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reasoning skills and attention to details, allowing you to carry out rigorous science Ability to progressively develop a strategy to extract novelty from the data and your results Organizational skills
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technology project Desirable but not required/ Nice to have A first-author publication track-record is highly advantageous A proven research track record in any other area of genome or epigenome data analysis
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project IMPaCT-Data. In this role, you will be instrumental in shaping the backend architecture of our applications, developing new features, and creating innovative services that drive our projects forward
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, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects
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. The Evolutionary Processes Modeling lab was established in October 2018 and is part of the “Computational Biology and Health Genomics” program at the CRG. Further information can be found on the Weghorn Lab website