The Clinical Epidemiology and Systems Medicine group at the UMC Mainz invites applications for a PhD position in Computational Systems Medicine: PhD Candidate (m/f/d) in Computational Systems Medicine Topic: Multi-omics data integration for studying complex cardiovascular diseases and their associated comorbidities in large human cohort studies Employer: University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany Your tasks: * Investigation of molecular processes and markers associated with complex cardiovascular diseases (e.g. heart failure), their heterogeneity, comorbidities, and molecular progression paths based on repeatedly sampled disease-specific human cohort studies * Multi-dimensional and pathway-integrating analysis of multifaceted data (proteomics, metabolomics/lipidomics, transcriptomics, genomics, phenotypic/clinical) using state-of-the-art and newly developed algorithms * Detection and comparison of disease subtypes for the development of personalized medicine in prevention, prognosis, and treatment Your profile: * Master degree in Computational Biology, Bioinformatics, Systems Biology, Biomathematics, Biostatistics, Epidemiology, Biomedical engineering or a related area * Strong interests in human biomedicine (cardiovascular diseases, diabetes, obesity) and multi-dimensional data analysis * Programming experience in R, python, or similar programming languages * Sound statistical knowledge and experience in handling bioinformatics databases and tools * Good communication skills and fluency in English * Structured and independent work attitude We offer: * An interesting research project at the forefront of computational biomedicine related to cardiometabolic diseases. * Access to several large and deeply phenotyped human cohort studies with high level of standardization and extensive multi-omics datasets * A professional and cooperative work environment in a highly interdisciplinary research team * A three year employment with salary according to the German public service salary scale TV-L E13, 65% * A stimulating scientific environment with excellent facilities for professional and personal development * Opportunities for child care (limited places available) * Job ticket for public transport For further information please contact Dr. rer. nat. Michael Lenz (mlenz@uni-mainz.de<mailto:mlenz@uni-mainz.de>) or Univ.-Prof. Dr. med. Philipp Wild (philipp.wild@unimedizin-mainz.de<mailto:philipp.wild@unimedizin-mainz.de>). Did we catch your interest? Please submit your application, including motivation letter, CV, recommendation letters, and copies of your diploma(s) and transcripts (high-school, bachelor, master) by e-mail to mlenz@uni-mainz.de<mailto:mlenz@uni-mainz.de>.