.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 supported by a flexible and efficient administration and high-end 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 recognition reflects the Institute's commitment to developing an HR Strategy for Researchers, designed to align practices and procedures 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 the following 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 directs cell-specific gene expression and pinpointing gene regulatory defects underlying human disease.The team brings together diverse expertise, ranging from work with mutant stem cell-derived beta cell organoids to engineered mouse models, single-cell epigenomics, large-scale genetic screens, statistical genetics, and the integration of genetic and regulatory data.
This multidisciplinary approach enables collaborative projects combining 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++, and expertise in Linux and high-performance computing environments.You have experience applying statistical methods to large datasets.
Familiarity with machine learning and/or statistical inference methods is desirable but not essential.Experience in genome sequence variant data and/or statistical genetics is highly advantageous for engaging in a human variant analysis project.
Experience in NGS data analysis is necessary for an epigenomics technology project.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