Analysis of multiomics data (e.g., NGS, transcriptomics, metabolomics) in oncology; Support non-clinical/clinical development in all phases, analysis plan (e.g. SAP), reporting; Implementation and reporting of exploratory biomarker analyses; Following quality and documentation standards in a GxP environment; Supporting the bioinformatics/statistics team, as well as independent work in diverse and exciting projects
Requirements:
Master’s degree in bioinformatics, computer science, or equivalent education; Experience in cancer genomics analysis especially in SNP/somatic mutation calling and CNV analysis; gene set analysis and clustering is a plus; Solid knowledge in statistical concepts e.g. hypothesis testing, survival analysis, cross-validation; Very good programming skills in R/Bioconductor; Shell-scripting, Git and Nextflow is a plus; Good overview of state-of-the-art bioinformatics tools and proven record of the ability to collect, combine, and analyse complex types of data
Text:
Senior Data Scientist with focus NGS/Bioinformatics (f/m/d) Analysis of multiomics data (e.g., NGS, transcriptomics, metabolomics) in oncology; Support non-clinical/clinical development in all phases, analysis plan (e.g. SAP), reporting; Implementation and reporting of exploratory biomarker analyses; Following quality and documentation standards in a GxP environment; Supporting the bioinformatics/statistics team, as well as independent work in diverse and exciting projects Master’s degree in bioinformatics, computer science, or equivalent education; Experience in cancer genomics analysis especially in SNP/somatic mutation calling and CNV analysis; gene set analysis and clustering is a plus; Solid knowledge in statistical concepts e.g. hypothesis testing, survival analysis, cross-validation; Very good programming skills in R/Bioconductor; Shell-scripting, Git and Nextflow is a plus; Good overview of state-of-the-art bioinformatics tools and proven record of the ability to collect, combine, and analyse complex types of data
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