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

Klinikum der Technischen Universität München (TUM Klinikum); München; Vor Ort; EUR 55.000 - 70.000; Vollzeit

Benefits dieser Stelle

TV-L salary

EGYM Wellpass

Corporate benefits

Pension scheme

Cafeteria

Sports offers

Cultural offers

Munich location

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 position focuses on uncovering molecular mechanisms of tumor evolution, cellular plasticity, and therapy resistance in GEAC through multi-omics and translational approaches.

The successful candidate will analyze large-scale datasets, develop bioinformatics pipelines, and collaborate with clinicians and international partners, with

Qualifikationen

• PhD in a quantitative field as listed.
• Strong experience analyzing NGS data (transcriptomic/genomic).
• Proficiency in R or Python and Linux environments.
• Excellent English communication and collaboration skills.

Aufgaben

• Analyze and interpret large-scale multi-omics data from GEAC samples.
• Develop computational pipelines for data processing.
• Collaborate with clinicians and international partners.
• Present findings at conferences and publish in high-impact journals.

Kenntnisse

NGS data analysis

R/Python programming

Linux/Unix proficiency

Independent project design

English communication

Ausbildung

PhD in Bioinformatics or related quantitative field

Tools

R

Python

Linux

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 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

If the candidates’ suitability for the position in question is equal, severely disabled applicants shall be given preference. Interview-related costs can, unfortunately, not be reimbursed.