意大利博尔扎诺欧洲学院招收统计基因学博士后

Description

RESEARCH FRAMEWORK. The Center for Biomedicine (CBM) investigates the genetic basis of cardiovascular, metabolic, and neurological phenotypes using data from population studies based on extended pedigrees and case-control studies. A new, ongoing population-based study on 10,000 people will provide a large database for the investigation of genetic, environmental and gene-environment interaction effects on chronic conditions. Already involved in several genome-wide association studies, the CBM now aims to identify genetic risk variants enriched in the studied population, using data from standard genotyping and next-generation sequencing (NGS) platforms.

TASKS AND QUALIFICATION. The successful candidate will perform analysis of data from both SNP arrays and NGS platforms, in a context of family-based studies, with two aims: characterization of the sample genetic structure (including genotype imputation, linkage disequilibrium analysis, population structure) and identification of loci associated with quantitative and qualitative traits (including association models for single or aggregated variants). For this reason, suitable candidates should hold a PhD in Statistical Genetics, Genetic Epidemiology, or closely related fields. Experience with the analysis of large genomic datasets, such as genome-wide or next-generation sequencing (NGS) studies is necessary, as well as proven programming ability and friendly use of different analysis packages in a Linux/Unix environment. Friendly use of the R software package is required. Previous experience on genotype imputation and analysis of family/pedigree-based data would be highly appreciated. The candidate should be able to write autonomously scientific articles.