.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.The roleWe are seeking a motivated postdoctoral scientist to lead a project in one of these two areas:Analysis and discovery of rare noncoding mutations causing diabetes, using advanced statistical genetics, computational regulatory genomics, and analysis of whole genome sequences in unique patient cohorts.Using computational strategies to develop a high resolution epigenomic technology with translational potential.About the labThe Regulatory Genomics and Diabetes lab aims to uncover genetic mechanisms causing diabetes mellitus, 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 underlying human disease.The team brings together diverse expertise, ranging from work with mutant stem cell-derived beta cell organoids, engineered mouse models, single cell epigenomics, large-scale genetic screens, statistical genetics, and the integration of genetic and regulatory data.
This multidisciplinary approach gives us unique opportunities to engage in collaborative projects that combine experimental and computational methods.Whom would we like to hire?Professional experienceMust HaveYou hold a PhD (or equivalent experience) in statistical genetics, genome or epigenome data analysis, or related fields.You have proven programming competence in Python, R, or C++, or related languages, and expertise in Linux and high-performance computing environments.You have proven experience in applying statistical methods to large datasets.
Familiarity with methods in machine learning and/or statistical inference is desirable but not essential.Experience in genome sequence variant data and/or statistical genetics is highly advantageous.
Experience in NGS data analysis is necessary.Desirable but not required/ Nice to haveA first-author publication track-record is highly advantageous.A proven research track record in any other area of genome or epigenome data analysis is highly advantageous.Education and trainingYou hold a PhD (or equivalent experience) in statistical genetics, genome or epigenome data analysis, or related fields