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, ensuring reliable data processing, quality control, integration of new technologies, and reproducible analysis. The successful candidate will act as a liaison between the CRG Genomics and Bioinformatics
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Bioinformatician to support bioinformatics workflows for high-throughput sequencing technologies, ensuring reliable data processing, quality control, integration of new technologies, and reproducible
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approaches to study RNA turnover or with massively parallel reporter assays (MPRAs) will be beneficial. Must Have Bioinformatics experience in the analysis of (RNA) sequencing data Experience with common lab
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Unit is seeking a Bioinformatician to support bioinformatics workflows for high-throughput sequencing technologies, ensuring reliable data processing, quality control, integration of new technologies
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generation and data analysis. About the lab The focus of Lehner lab is using massively parallel selection experiments to tackle the fundamental encoding problems of molecular biology. Towards this
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Dr Mara Dierssen. The position requires a candidate with previous experience in Bioinformatics. The candidate will process and analyse multi-omics datasets (eg. snRNA-Seq, snATAC-Seq, spatial
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Bioinformatics Institute (EMBL-EBI, www.ebi.ac.uk) in Cambridge, the EGA is an active partner in numerous international and national projects and contributes to establishing global standards in genomics and
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environments Knowledge about statistical mechanics Desirable but not required/ Nice to have Experience/good grasp about physics Education and training MSc in Engineering, Bioinformatics or related
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a PhD in bioinformatics or related fields Languages • You are fluent (oral & writing) in English Competences • Programming competence in R and Python • Independent troubleshooting / problem solving
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required. A degree in bioinformatics, computational biology, biotechnology or a related field, together with evidence of relevant quantitative or programming training Languages Excellent working English