PhD student at the Institute of Medical Informatics and Biometry (m/f/d)

Development and application of a bioinformatic analysis pipeline for ovarian cancer executing data: You integrate, adapt and combine existing bioinformatic methods to identify tumor clones and reconstruct their common development in individual patients. The aim is to better understand the evolutionary development and spread of ovarian cancer and to identify relevant genes and signal pathways in the evolutionary context that could serve as starting points for improved monitoring and therapy in the future. Their work forms a central basis for the experimental analyses of the project partner at the Clinic and Poliklinik für Frauenheilkunde and Obsthilfe of the University Hospital Dresden Evolutionary tumor data analysis: Identification of tumor clones and reconstruction of their common development in patients Genetic and Signal Path Analysis: Investigation of Evolutionary Relationships to Identification of New Therapie Approaches Integration of existing methods: adaptation and combination of already available bioinformatic methods Scientific communication: preparation and provision of analytical results for experimental project partners and presentation at conferences project and publication work: participation in reports, third-party applications, publications and doctoral thesis; independent scientific work on further qualification

completed university studies in bioinformatics, computer science or related disciplines very good master thesis in the field of bioinformatics / data analysis first experience in bioinformatic methods for molecular omics data (probably: exomsequencing data) solid programming experience, very good knowledge in R and Python very good English knowledge beneficial: knowledge of tumor biology, Tumorevolution and machine learning as well as experience with Linux and computer servers Convinced on the whole line -

in the Institute of Medical Informatics and Biometry As of 01.04.2026 in parttime, the body must be occupied with 26 hours per week for 3 years. Remuneration is carried out according to the classification rules of the respective collective agreement and is possible in the case of the personal conditions in the remuneration group E13. Compensation: by collective agreement and a fixed annual special payment and an occupational pension scheme Holiday: 30 days Career and further development: Numerous internal and external further development and further training possibilities e.g. B. about our Carus Academy Compatibility of family and profession: Our family office advises and supports in every situation of life, including in Kita camps around the clinic, holiday programs or care of relatives Health: Extensive sports and exercise offers in our state-of-the-art gym as well as programs and advice on mental health, occupational health management and more. Advantages: Employee discount in our Klinikapotheke, Corporate Benefits and other shopping portals