Tasks
The candidate will work in an interdisciplinary team to perform
Bioinformatics Studies on Epigenetic Regulation of Type 2 Diabetes (T2D). Diabetic patients are very heterogeneous and can develop different complications e.g. nephropathies, retinopathies and cardiovascular diseases. Therefore, a refined classification was recently conducted, by using six clinical parameters, and allocated the patients in five diabetes-clusters. Our ultimate goal is to improve the identified classification and assign new epigenetic biomarkers in order to allow a relatively simple, early and reliable diagnosis. Therefore, the master student will create multiple analysis pipelines that allow the epigenetic stratification of the diabetic patients.
The tasks would be:
- Compare different clustering models and evaluate the discriminative precision of each calculation
- Use the most stringent model to create DNA methylation and/or phenotypic clusters
With this the student will learn to connect complex multi-omics datasets, including DNA methylation and clinical traits that will be run in collaboration with academic and clinical researchers.
Skills and requirements
The DIfE invites applicants with academic background in an appropriate discipline e.g. – bioinformatics, mathematics, statistics, or in a biological science with substantial analytical background knowledge.
The candidate will enjoy team working and interactions with experimental scientists and other bioinformaticians to work on complex datasets, and will have experience using tools such as R/Bioconductor or python. Basic skills in R/ Bioconductor and intrinsic interest in epigenetics would be an asset.
The institute offers excellent working conditions in an interactive and multidisciplinary research environment, with state-of-the-art equipment, qualified training and the opportunity to continue on a PhD position afterwards.