Postdoc (m/f/d) – Translational Cancer Research | Gastroenterology

You will investigate the molecular mechanisms of tumor evolution, cellular plasticity, and therapy resistance in GEAC through the integration of longitudinal multi-omics datasets from prospective clinical trial samples.

Your research will focus on computational analysis and interpretation of large-scale molecular datasets, including:

• Analysis and integration of single-cell and spatial transcriptomic datasets to characterize tumor evolution and treatment response
• Inference of tissue-specific gene expression and tumor activity from plasma cell-free DNA fragmentation patterns
• Development of computational approaches for the integration of genomic, transcriptomic, epigenomic and immune profiling data
• Multi-omics integration to reconstruct tumor evolutionary trajectories and characterize cellular plasticity during treatment
• Development and implementation of bioinformatic pipelines for high-dimensional sequencing datasets
• Close collaboration with clinicians, biologists, computational biologists and international collaborators
• Presentation of research at international conferences and publication in high-impact scientific journals

We are seeking an ambitious computational scientist with a strong interest in translational cancer research and multi-omics data analysis.

Required qualifications

• PhD in Bioinformatics, Computational Biology, Computer Science, Data Science, Biomedical Sciences, Cancer Genomics or a related quantitative discipline
• Strong experience in the analysis of next-generation sequencing data (e.g. transcriptomic and/or genomic datasets)
• Excellent programming skills in R and/or Python
• Experience working in Linux/Unix environments and using reproducible computational workflows
• Ability to independently design and drive scientific projects
• Excellent communication skills and proficiency in English

Preferred qualifications

Experience in one or more of the following areas is highly desirable:

• Cell-free DNA sequencing and fragmentation analysis (highly desirable)
• Single-cell RNA sequencing analysis and/or Spatial transcriptomics
• Multi-omics integration
• Machine learning or statistical modelling of biological datasets
• Cancer genomics and tumor evolution

• A postdoctoral position within a newly established and rapidly growing Max Eder Research Group funded by the German Cancer Aid
• An outstanding translational research environment embedded within TUM Klinikum rechts der Isar, one of Europe’s leading academic medical centers
• Close collaboration with internationally renowned research groups at the Institute of Cancer Research (ICR), Sutton, UK, and Chalmers University of Technology, Gothenburg, Sweden, including opportunities for scientific exchange and short-term research stays at both partner institutions.
• Direct integration with prospective clinical trials and longitudinal patient cohorts
• Close collaboration with physicians, computational biologists and internationally recognized research partners
• Strong mentorship and excellent opportunities for scientific independence and career development
• Support for national and international conference attendance
• Competitive salary according to TV-L
• EGYM Wellpass, corporate benefits, company pension scheme (VBL), cafeteria, sports and cultural offers
• Modern workplace in the heart of Munich with excellent public transport connections