We offer an innovative, multidisciplinary environment in which you will work as part of the NextGen consortium. Within the consortium, our group studies cardiovascular disease and aims to identify which genes and biological pathways are involved, with a focus on GWAS, polygenic risk scores (PRS) and drug metabolism (pharmacogenetics). You will work with large (array) genotyped, WGS, and WES datasets utilizing data of hundreds of thousands of samples. We have a combination of deep-phenotyped in-house data and large external cohorts, such as UK Biobank and All of Us. You will work closely with bioinformaticians from the clinical genetics department. We are currently a compact, yet growing group, and as we continue to expand, we are looking for a candidate interested in a long-term role.
The UMC Utrecht is a leading international academic medical center where knowledge of health, disease and care is generated, evaluated, shared and applied for the benefit of patients and society. One of the focus areas of research within the UMC Utrecht is Circulatory Health; within this focus area, our research group plays a crucial role in the discovery of genes and biomarkers for cardiovascular disease and the testing of new therapeutic approaches to help patients. Our ultimate aim is to improve diagnosis, prognosis, and treatment of cardiovascular disease.
You have a PhD in genetics, statistics, bioinformatics, or a related field. You have in-depth experience working with and analyzing (complex) genetic data. Preferably, you are experienced in using software such as PLINK and REGENIE (or similar), python and R, and are used to working in a command-line based environment (e.g. Bash). Experience with Git and with large-scale cohorts such as UK Biobank or All of Us is a pre. You are a creative, ambitious and enthusiastic candidate with a clear passion for research. You are motivated, pro-active, independent, and enjoy working in an interdisciplinary team in the field of cardiovascular genetics. You are (near) fluent in English and proficient in presenting your work, both orally (scientific presentations) and written.
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