Research Assistant (Wissenschaftliche Hilfskraft) - Bioinformatics and data analyses
Exzellenzcluster CMFI | Ab sofort
Ab sofort / as from now.
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, metabolites as their effectors and perturbations along the microbe-host axis interplay with tumor development and immunotherapy, notably adoptive T cell therapies, in preclinical models and in translational studies also in patients.
We are using 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 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.
Research assistant position available
In our 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 currently looking for a dedicated and motivated research assistant (“Wissenschaftliche Hilfskraft”) to join our team. For this position we can offer up to 16h per week, the working times are highly flexible. Research will be carried out in the new M3 – Institute at the University of Tübingen. Whenever compatible with data processing, home office is possible as well.
Candidate profile
The following qualifications are required:
- Academic training in Biostatistics, Data Science, Machine Learning, Bioinformatics, or Mathematics.
- Experience with compositional microbiome data, shotgun metagenome data and 16S rRNA sequencing analysis, RNA seq data analysis.
- Proficiency in exploratory data analysis (EDA) and inference statistics.
- Expertise in multiple programming languages, such as Python and R, with experience working in Linux-based environments and HPCs.
The candidate will bring fundamental statistical and computational skills and an interest to broaden the use of computational methods for microbiome data analysis.
Applications or questions about the position should be sent to Christoph Stein-Thoeringer (christoph.stein-thoeringer
@uni-tuebingen.de).
Please send your application as a single PDF file that includes your CV/biosketch and university transcripts. For more information, please also visit us: