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

TUM Klinikum; München; On-site; EUR 52,000 - 70,000; Full time

Benefits offered by this job

EGYM Wellpass

Corporate benefits

Pension scheme (VBL)

Cafeteria

Sports offers

Cultural offers

Job summary

TUM Klinikum Rechts der Isar invites applications for a Postdoc (m/f/d) in Translational Cancer Research within Gastroenterology. The role focuses on tumor evolution, cellular plasticity, and therapy resistance in GEAC using multi-omics and clinical trial samples.

The position offers cross-disciplinary exposure at the interface of clinical oncology, cancer genomics, and functional research, with a 36-month fixed-term contract and both full- and part-time options in Munich.

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.

Responsibilities

• Analyze and integrate single-cell and spatial transcriptomic datasets to study tumor evolution and treatment response.
• Infer tissue-specific gene expression and tumor activity from plasma cfDNA fragmentation patterns.
• Develop computational approaches for integrating multi-omics data (genomic, transcriptomic, epigenomic, immune profiling).
• Perform multi-omics integration to reconstruct tumor evolutionary trajectories and cellular plasticity during treatment.
• Create and implement bioinformatic pipelines for high-dimensional sequencing datasets.
• Collaborate with clinicians, biologists, computational biologists and international partners.
• Present research at international conferences and publish in high-impact journals.

Skills

NGS data analysis

Computational biology

R programming

Python programming

Linux/Unix

Education

PhD in Bioinformatics or related field

Tools

R

Python

Linux/Unix

Reproducible workflows

Job description

TUM Klinikum Rechts der Isar

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

full- / part-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.

München | as soon as possible | full- / part-time | fixed-term (36 months)

Your Tasks

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.

• 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

Your Profile

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

• 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

We Offer

• 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

Your contact person:

Melissa Barroux

AG-Leiterin und Ärztin
Tel: [phone]
TUM Klinikum Rechts der Isar
Ismaninger Straße 22
81675 München
www.mri.tum.de