Informatiker (m/w/d) (Informatiker/in)
TUM Klinikum Rechts der Isar · München, Germany ·
- Employment
- Full time
The Department of Internal Medicine II at TUM Klinikum rechts der Isar is recruiting a highly motivated Postdoctoral Researcher to join our newly established Max Eder Research Group.
Our research aims to decipher the molecular mechanisms of tumor evolution, cellular plasticity, and therapy resistance in gastric and gastroesophageal adenocarcinoma (GEAC). By integrating longitudinal patient samples from prospective clinical trials with cutting-edge multi-omics technologies and functional model systems, our group is committed to understanding the biological mechanisms underlying treatment resistance in upper gastrointestinal cancers and translating these discoveries into novel therapeutic strategies.
The position offers the unique opportunity to work at the interface of clinical oncology, cancer genomics, computational biology, and functional cancer research within an outstanding translational research environment.
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 independen...
Our research aims to decipher the molecular mechanisms of tumor evolution, cellular plasticity, and therapy resistance in gastric and gastroesophageal adenocarcinoma (GEAC). By integrating longitudinal patient samples from prospective clinical trials with cutting-edge multi-omics technologies and functional model systems, our group is committed to understanding the biological mechanisms underlying treatment resistance in upper gastrointestinal cancers and translating these discoveries into novel therapeutic strategies.
The position offers the unique opportunity to work at the interface of clinical oncology, cancer genomics, computational biology, and functional cancer research within an outstanding translational research environment.
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 independen...