.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 administration and high-end technologies.In April 2021, the CRG received the renewal of the 'HR Excellence in Research' Award from the European Commission.
This recognition highlights the Institute's commitment to developing an HR Strategy for Researchers aligned with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers.Please check out our Recruitment Policy: here .The role We 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 lab The Regulatory Genomics and Diabetes lab aims to uncover genetic mechanisms causing diabetes mellitus and develop therapeutic avenues.
The group is particularly interested in understanding how genomic information directs cell-specific gene expression and identifies 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 allows collaborative projects that combine experimental and computational methods.Whom would we like to hire?
Professional experience Must 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 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 for the epigenomics technology project.Desirable but not requiredA 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 training You hold a PhD (or equivalent experience) in statistical genetics, genome or epigenome data analysis, or related fields.Languages You are fluent in English