Zum Inhalt der Seite springen
CMFI Stellenanzeigen Header
Join our team

Data scientist / Bioinformatician (EN)

Exzellenzcluster CMFI | Ab sofort

The Lab of Translational Microbiome Research (Head: C. Stein-Thoeringer), part of the Cluster of Excellence “Controlling Microbes to Fight Infections” (CMFI), at the University of Tübingen studies the cross-talk between gut microbes, pathogens, the immune milieu and environmental factors in cancer development, therapy and infections. The lab’s science mission is to understand how individual bacteria, microbial consortia or microbial perturbations through diets or antibiotics interplay with inflammatory responses and metabolic disturbances to drive carcinogenesis and metastasis preclinical models. We also study the longitudinal cross-talk of cancer therapies with the gut microbiota in patients and in mouse models to investigate causal relations, e.g., by direct bacterium-host cell interactions or via microbial metabolites.

We are using well-established, cutting-edge wet-lab techniques combined with bioinformatic tools to sequence and to analyse the microbiome from different sites of the gastrointestinal tract applying culture-omics and high-resolution metagenome sequencing techniques. This approach is combined with multi-omics characterisation of the host’s immune system or the metabolome, and we utilize gnotobiotic model systems to infer causality in microbe-host interactions. In translational clinical approaches, we are performing clinical studies to study patient microbiomes, associations with disease and environmental factors and carry out microbiome-based interventions for the benefit of patients.

Specific research project

At the Lab of Translational Microbiome Research, we are studying the interactions between the mammalian host, the immune system, and the microbiome both in clinical and preclinical studies. We are offering a postdoc position (E13 TV-L, 100%, for 2 years) in bioinformatics or data science as part of a collaborative research project on the microbiome and cancer immunotherapy funded by the Baden-Württemberg Stiftung. This project will comprise a multi-omics approach with next-level sequencing of the microbiome, metabolomics and immunophenotying to understand microbe – host interaction in CAR-T cell immunotherapy. All research will be carried out in the new M3 (Mikrobiom-Metabolom-Malignom) – Institute at the University of Tübingen.

Candidate profile

We are looking for highly motivated postdoctoral scientist interested in the fundamental mechanism of the gut microbiome, infection, cancer and translation of laboratory finding into perspective clinical applications. Master degree in bioinformatics, statistics or mathematics is preferential. Previous experience in microbiome and multidimensional data analyses are of advantage. The candidate will bring fundamental statistical and computational skills and an interest to broaden the use of computational methods for microbiome data analysis. Team-working abilities are essential. Critical independent thinking is encouraged. The successful candidate will develop excellent experimental, communication and presentation skills, and will be familiarized with a high performing scientific environment that gives an advantage for career development in both academia and industry.

Applications or questions about the position should be sent to Christoph Stein-Thoeringer (christoph.stein-thoeringer@med.uni-tuebingen.de).

Please send your application as a single PDF file that includes: a cover/motivation letter; your CV/biosketch; contact information for two references; and university transcripts. For more information, please also visit us:



The University of Tübingen is an Equal Opportunity Employer with a strong institutional commitment to excellence through diversity. All qualified applicants will be considered for employment without regard to gender, race, color, national origin, sexual orientation, religion, disability, or age.

The review of applications will begin in May 2023 and will continue until the position is filled.