Computational frameworks to study intra-tumor heterogeneity across multiple single-cell omics technologies

Prof. Dr. Katharina Jahn 

 

The Biomedical Data Science group of Prof. Dr. Katharina Jahn develops computational and statistical methods for the analysis, integration, and interpretation of biomedical omics data, in particular single-cell data. One focus of the group is the study of intra-tumor heterogeneity, particularly the clonal evolution of tumors, to obtain a more comprehensive understanding of cancer biology, to guide the development of improved diagnostic, prognostic, and therapeutic strategies for cancer patients.

We are looking for a highly motivated doctoral candidate with a strong computational background to develop probabilistic frameworks to analyze clonal tumor composition at single-cell level across multiple omics technologies (scDNA-seq, scRNAseq, scATAC-seq,…). The long-term goal of this project is to extract recurrent subclonal features such as mutual exclusivity across patient cohorts and combine them with clinical variables and expert knowledge to predict overall survival, relapse risk, and treatment response.

For more information, visit the website of the Biomedical Data Science Group at the Free University Berlin.