The Institute for Computational Genomics, RWTH Aachen University performs cutting edge research on computational and genomic methods for understanding regulatory and epigenetic processes driving cell differentiation and diseases (Gusmao, Nature Methods, 2016; Li, Genome Biology, 2019; Frank, Cell Stem Cell, 2019).
We are looking for a Ph.D. student or postdoc to work on novel statistical machine learning approaches for the detection of epigenetic and regulatory programs leading to diseases. This includes the analysis of open chromatin (ATAC-seq) and DNA methylation profiles of patient cohorts, which are performed in collaboration with biomedical specialists from RWTH Aachen and Ulm University.
Applicants should hold a M.Sc. (Ph.D.) in Bioinformatics or Computer Science. Experience in the analysis of biological sequences and regulatory genomics is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Unix/Linux. Experience with high performance computing is a plus. The working language of the group is English. The position is a will be initially for 3 years with possibility of extension. The salary corresponds to level 13 TV-L.
Interested candidates should send a brief statement of research interests, CV and the names of three references to email@example.com.