What we offer:

• A dynamic work environment with flexible working hours in which you may work in a self-dependent, autonomous way Work on competitive, international “big data” omics projects applying state-of-the-art scientific, statistical, predictive, and data integration techniques Possibility to develop and pursue your own scientific ideas A motivated multidisciplinary international team that helps and supports you in your tasks The possibility to obtain a Ph.D. (i.e., Dr. rer. nat. or Dr. rer. medic.) degree or habilitation Support for your academic career

Your profile:

• Master’s degree (or higher) in (bio-)statistics, mathematics, bioinformatics, or degree in related fields Proficiency in R Experience working within a UNIX/Linux environment Strong background in bioinformatics and biostatistics, including analysis of high-throughput data in at least one omics area (genomics, epigenomics, transcriptomics, or proteomics) Skills in at least one area of expertise of statistical methodology including survival analysis, statistical genetics, and/or machine learning Strong writing and analytical skills Excellent communication and team skills and fluency in both spoken and written English