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

Worklane GmbH

München

Vor Ort

EUR 60.000 - 75.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

TV-L salary
Wellpass
Company pension (VBL)
Cafeteria
Sports and cultural offers
Modern workplace in Munich

Zusammenfassung

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

Ideal candidates hold a PhD in a quantitative field and are experienced with NGS data analysis, R/Python, and Linux workflows.

Qualifikationen

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

Aufgaben

  • Investigate molecular mechanisms of tumor evolution, cellular plasticity and therapy resistance in GEAC using longitudinal multi-omics datasets
  • Focus on computational analysis and interpretation of large-scale molecular datasets
  • Analyze and integrate single-cell and spatial transcriptomics to characterize tumor evolution and treatment response
  • Infer tissue-specific expression and tumor activity from cfDNA fragmentation patterns
  • Develop computational approaches to integrate genomic, transcriptomic, epigenomic and immune profiling data
  • Perform multi-omics integration to reconstruct tumor trajectories and plasticity during treatment
  • Develop and implement bioinformatic pipelines for high-dimensional sequencing data
  • Collaborate with clinicians, biologists and international partners
  • Present research at conferences and publish in high-impact journals

Kenntnisse

Bioinformatics
R/Python
Linux/Unix
Communication skills
English proficiency
Independently design projects

Ausbildung

PhD in a quantitative field

Tools

NGS data analysis tools

Jobbeschreibung

The Department of Internal Medicine II at TUM Klinikum rechts der Isar is recruiting a highly motivatedPostdoctoral Researcherto join our newly establishedMax Eder Research Group.

Our research aims to decipher the molecular mechanisms oftumor 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 ofclinical oncology, cancer genomics, computational biology, and functional cancer researchwithin an outstanding translational research environment.

Aufgaben

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
Profil

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
Benefits
  • 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
Kontakt

Melissa Barroux

Klinik und Poliklinik für Innere Medizin II

089 4140 2251

Weitere Informationen

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.

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