• This project employs a multi-omics approach, integrating microbiome data, metabolomics, immune phenotypes and clinical records to uncover the relationships between microbes and their host in the context of cancer or cancer therapies
• The research will be conducted at the state-of-the-art M3 Institute at the University of Tübingen

• A Master's or Ph.D. in Biostatistics, Data Science, Machine Learning, Bioinformatics or Mathematics
• Experience with compositional microbiome data, including whole-genome and 16S rRNA sequencing analysis, and RNA seq data analysis
• Proficiency in exploratory data analysis (EDA) and a solid understanding of machine learning algorithms
• Expertise in multiple programming languages, such as Python and R, with experience working in Linux-based environments and HPCs

• Familiarity with explainable AI tools (eg, LIME or SHAP) for interpreting machine learning models
• Experience with multi-omics data integration
• Strong problem-solving abilities and a proven track record of effective collaboration within interdisciplinary teams
• Proficiency in English or German (written and communication)

Benefits

• Work in the diverse environment of a modern university hospital, which focuses not only on patient care but also on medical research and teaching
• A future-proof job and location, as well as attractive remuneration including a company pension plan (VBL) and flexible working hours
• Subsidy for public transportation tickets and attractive discounts on our employee offer platforms
• Structured onboarding phase, hospital-owned academy for developing professional, social, and methodological skills
• Health care through a wide range of sports activities