PhD / Doctoral position in Biomedical Data Sciences & Bioinformatics for studying the role of TP53 mutants in cancer progression

(part-time 75 %, E 13 TV-L)

Reference number 2024/194. The start date is as early as possible / by agreement. The position is initially available for the first year of the PhD with the option for extension.

The University of Konstanz is one of eleven Universities of Excellence in Germany. Since 2007 it has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy.

This position is an exciting opportunity for you, if you wish to become an expert in cancer biology and develop strong data science skills by conducting research that will investigate the molecular mechanisms underlying mutants of the TP53 tumor suppressor gene, which is one of the most frequently mutated genes in human cancers. The project is part of a collaborative research centre and is available within the research group of Tenure Track Prof. Dr. Andreas Gruber, which has a focus on developing and applying data science approaches to study gene activity regulation in human health and disease (please find further information about our group, our research & our publications here: https://www.biologie.uni-konstanz.de/gruber).

You will integrate machine learning-based gene activity models and develop data science approaches to analyse multi-omics data, including RNA sequencing, large-scale proteomics and phosphoproteomics as well as metabolomics data created by the group of Prof. Dr. Ivano Amelio with whom we are collaborating on this exciting project. By applying your multi-omics analysis approach, you will unravel the molecular circuitries altered by mutant TP53. Importantly, you will also analyse large cancer patient cohorts to investigate the clinical relevance of our experimental observations and supplement them with clinical features to inform precision medicine. If you aim to become an expert in biomedical data sciences and you are intrinsically motivated to unravel to molecular mechanisms underlying cancer development and progression, please get in touch!