(F-282) | Postdoc, Computational Single Cell Epigenomics

Detalles de la oferta

.The InstituteThe Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed of an interdisciplinary, motivated, and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies.In April 2021, the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research' Award from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers (Charter and Code).Please, check out our Recruitment Policy.The roleWe are hiring an excellent postdoctoral professional who will play a relevant role in computational genomics at the lab. This position is intended to develop a project that uses statistical analysis of single cell epigenomic data to understand the role of noncoding variants underlying disease.About the labThe Regulatory Genomics and Diabetes lab aims to uncover genetic mechanisms causing diabetes mellitus, and to develop translational applications. The group is particularly interested in understanding how genomic information is used to program gene expression in the developing and adult pancreatic beta cells, as well as in identifying regulatory defects underlying disease.It is a highly multidisciplinary team, with expertise in the analysis of mutant stem cell-derived beta cell organoids and mice, single cell epigenomics, genetic screening, statistical genetics, and integrative analyses. It is funded by European Research Council, the Spanish Ministry of Science and Innovation, the Generalitat de Catalunya CERCA program, an AXA chair, European Foundation for the Study of Diabetes, the Marie Sklodowska-Curie Actions program, and the CIBERDEM diabetes network.Selected recent work from the lab:Disruption of a gene transcription and splicing hierarchy in type 2 diabetes. In review.Large-scale discovery of molecular targets for precision treatment of HNF1A-deficient diabetes. In review.Transcription regulation by long non-coding RNAs and its disease relevance. Nat Rev Mol Cell Biol, 2024.HASTER lnc RNA promoter is a cis-acting transcriptional stabilizer of HNF1A. Nat Cell Biol 2022.Pancreas agenesis mutations disrupt a lead enhancer controlling a developmental enhancer cluster. Dev Cell. 2022.Human pancreatic islet 3D chromatin architecture provides insights into the genetics of type 2 diabetes. Nat Genet 2019.Whom would we like to hire?Professional experienceMust HaveYou have at least two years of experience in the statistical analysis of single cell epigenomics data.Education and trainingA PhD in mathematics or statistics.LanguagesYou are fluent in English


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