Staff Scientist Bioinformatics

The successful candidate will be a key member of an interdisciplinary team focused on the development and application of proteomic, metabolomic and bioinformatic methods to answer scientific questions from all branches of the life sciences. He/she will be responsible for all activities in bioinformatics within BayBioMS including IT hardware and respective software. He/she will manage and participate in collaborative projects with scientists on and off campus, train and supervise technical staff and participate in educational activities. (more information)

12 Doctoral Candidates f/m/d Plant Proteomics, Bioinformatics and Biology

Plants are the nutritional basis of life on earth and protein-rich foods from plants are a global megatrend essential for sustaining an increasing human population and counteracting climate change. However, little is known about crop proteomes – the entirety of proteins that execute and control nearly every aspect of life. Therefore, TUM has launched a visionary initiative with high socio-economic relevance on the topic of “The Proteomes that Feed the World”. (more information)

Projects for internship, Bachelor's thesis and Masters' thesis

We have projects for internship, Bachelor's thesis and Masters' thesis. Therefore, we are always looking for motivated students to join our team to work on proteomics, metabolomics and bioinformatics topics. To find more information, please send your CV to

karin.kleigrewe [at] tum.de (For metabolomics projects)

tina.Ludwig [at] tum.de (For proteomics projects)

chen.meng [at] tum.de (For bioinformatics projects)

Bioinformatics project: Visualization of multi-omics statistical analysis (master thesis or internship)

Integrative analysis of multiple omics data sets is crucial to reveal the biology that is less prominent in each individual omics data. In the past few years, I have developed several algorithms for the purpose of exploratory analysis, clustering analysis and enrichment analysis, etc. However, better visualization of results, particular in an interactive manner, is critical but still missing in order to derive testable hypotheses from the integrative analysis. This project requires developing a few data visualization modules using shiny (see related works) and apply them in the data analysis.

Related works:
anders-biostat.github.io/linked-charts/rlc/
https://shiny.rstudio.com/
www.ncbi.nlm.nih.gov/pubmed/24884486
www.ncbi.nlm.nih.gov/pubmed/26653205
www.mcponline.org/content/early/2019/06/26/mcp.TIR118.001251.abstract