The genome bioinformatics research group at the department of Human Genetics is looking for an experienced bioinformatics postdoc for the Vidi project entitled “Integrating Metabolomics and Genomics for understanding human Disease”. The identification of disease-causing errors in the DNA is difficult and provides us with limited insights into the workings of the disease. Through bioinformatics methods and data integration of metabolite and DNA data we will improve the identification of genetic causes of disease and find novel leads for therapies.
Your tasks will be to (1) develop and implement methods for the combined analysis of metabolomics and genetics data to improve patient diagnostics, (2) co-supervise existing PhD students and (3) develop your own research topic within the genome bioinformatics group.
You have a PhD in bioinformatics/genomics or related subject and have experience in performing bioinformatics research. You are practical, goal-oriented and a team-player with experience in programming (java/python), linux and statistical methods (R). You are interested in genetics and genomics, have experience in writing scientific publications and are motivated to develop your own research topics. You recognise yourself in the Radboud way of working.
Scale 10: max € 58838 gross per year at full employment (incl. vacation bonus and end of year payments)
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Department of Human Genetics
The genome bioinformatics group develops novel bioinformatics methods to improve the interpretation of genome variation, and implements and applies bioinformatics methods for large-scale genomics data to identify novel genetic causes of disease and the mechanisms behind them. The genome bioinformatics group is part of the Department of Human Genetics, which is one of the largest genetics departments in the Europe with more than 300 employees. The Genome Research division has >100 employees, who work under the umbrella of 20 individual research groups. Our research, which is strong in the areas of genomics, methods development, cell and animal models, as well as the investigation of mechanisms leading to monogenic and multifactorial diseases, is regularly published in high-ranking journals.