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, evolutionary theory, quantitative genetics, data science, toxicology, and law. Within this project, our group at the CRG focuses on the analysis of bulk and single cell RNA-seq from five different model species
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smooth running of the laboratory via management tasks that include project support, cell culture, biochemistry and molecular biology experiments, reagent preparation, equipment and inventory maintenance
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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