Participate in research activities involved in the analysis of multiomics data sets including next-generation sequencing, single cell/nuclear transcriptomics, bulk RNA sequencing, spatial transcriptomics, metabolomics and proteomics datasets; Coordinate data handling and analysis for multi-omics data; Participate as a team member in experimental design and data analysis; Coordinate publications related to the project and scientific results; Work in close collaboration with LCSB members on scientific projects
Requirements:
Master’s degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine; Demonstrated expertise in R programming with a strong command of bioinformatics workflows, including data manipulation, statistical analysis, and visualization using relevant packages from Bioconductor including (but not limited) to DESeq2, limma, BioMart, Seurat, gViz, and edgeR; Proficiency in developing interactive web applications and data visualizations with R Shiny, Plotly, ggplot2, and Seaborn or similar dataviz libraries; Proficiency in Python
Text:
Research and Development Specialist - Bioinformatician Participate in research activities involved in the analysis of multiomics data sets including next-generation sequencing, single cell/nuclear transcriptomics, bulk RNA sequencing, spatial transcriptomics, metabolomics and proteomics datasets; Coordinate data handling and analysis for multi-omics data; Participate as a team member in experimental design and data analysis; Coordinate publications related to the project and scientific results; Work in close collaboration with LCSB members on scientific projects Master’s degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine; Demonstrated expertise in R programming with a strong command of bioinformatics workflows, including data manipulation, statistical analysis, and visualization using relevant packages from Bioconductor including (but not limited) to DESeq2, limma, BioMart, Seurat, gViz, and edgeR; Proficiency in developing interactive web applications and data visualizations with R Shiny, Plotly, ggplot2, and Seaborn or similar dataviz libraries; Proficiency in Python
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