Informatiker (m/w/d)

TUM Klinikum Rechts der Isar; München; Vor Ort; EUR 52.000 - 68.000; Vollzeit

Zusammenfassung

The Department of Internal Medicine II at TUM Klinikum rechts der Isar invites applications for a Postdoctoral Researcher to join the Max Eder Research Group. The role focuses on deciphering tumor evolution, cellular plasticity, and therapy resistance in GEAC using longitudinal multi-omics data.

The successful candidate will perform computational analysis, develop pipelines, and collaborate with clinicians and international partners to translate findings into novel therapeutic strategies.

Qualifikationen

• PhD in a quantitative field related to cancer genomics.
• Strong experience in the analysis of next-generation sequencing data (transcriptomic and/or genomic).
• Excellent programming skills in R and/or Python.
• Experience with Linux/Unix environments and reproducible workflows.
• Ability to independently design and drive scientific projects.
• Excellent communication skills and proficiency in English.

Aufgaben

• Analyze longitudinal multi-omics datasets to study GEAC tumor evolution and therapy resistance.
• Integrate single-cell and Spatial transcriptomics with cfDNA fragmentation data.
• Develop computational pipelines for high-dimensional sequencing data.
• Collaborate with clinicians, biologists, and international partners.
• Present research at international conferences and publish in high-impact journals.

Kenntnisse

NGS data analysis

R and Python

Linux/Unix

Reproducible workflows

Independent project design

English communication

Ausbildung

PhD in Bioinformatics or related quantitative discipline

Tools

R

Python

Linux/Unix

Jobbeschreibung

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...