Elisabeth Letellier
4 days ago
Postdoctoral Researcher in Translational Cancer Bioinformatics University of Luxembourg in Luxembourg
Degree Level
Postdoc
Field of study
Immunology
Funding
Available
Country
Luxembourg
University
University of Luxembourg

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About this position
Postdoctoral Researcher in Translational Cancer Bioinformatics at the University of Luxembourg (Belval Campus, Luxembourg) is an interdisciplinary postdoctoral opportunity focused on translational colorectal cancer research.
The project is embedded in a collaborative effort between the MDM group at the University of Luxembourg, led by Prof. Elisabeth Letellier, and the laboratory of Prof. Tejpar at KU Leuven. The research investigates stromal-epithelial crosstalk in colorectal cancer, with particular attention to cancer-associated fibroblasts (CAFs), epithelial plasticity, immune responses, and therapy resistance. The successful candidate will contribute to the TARGET-SEC project, which aims to identify novel therapeutic strategies targeting pro-tumorigenic stroma-epithelial interactions.
This postdoctoral role combines bioinformatics, cancer biology, and single-cell / spatial omics. The fellow will analyze patient-derived and clinical-trial data using advanced computational approaches, and will help decode how healthy colon fibroblasts transition into CAF subtypes and how these subtypes influence tumor progression. The work integrates spatial transcriptomics, single-cell RNA sequencing, organoid co-culture assays, and in vivo models to study the tumor ecosystem in colorectal cancer.
Key responsibilities include coordinating experiments for the TARGET-SEQ project, conducting bioinformatics analyses, implementing new computational tools, documenting results and protocols, participating in consortium meetings, and contributing to scientific publications and general laboratory tasks. The position is supported by a dedicated technician for experimental work.
The University of Luxembourg highlights a modern, international, multilingual research environment with strong infrastructure and collaborative links to academic, clinical, and non-academic partners. The post is a fixed-term contract for 24 months with a full-time salary of EUR 87,306 gross per year.
Applicants should hold a PhD in Biological Sciences, Data Science, Computational Biology, or a related field. Experience as a postdoctoral researcher is preferred. Strong skills in R and another scripting language such as Python, solid biostatistics knowledge, experience with single-cell sequencing data, preferably spatial omics, HPC experience, and a strong understanding of cancer biology, immunology, cell biology, and molecular biology are expected. Excellent English (C1), strong organization, and peer-reviewed publication experience are also required.
To apply, candidates must submit a CV, cover letter describing their motivation and fit with the project, PhD diploma or expected defense information, university transcripts, a publication list, and contact details for at least two referees. Applications must be submitted online via the HR system; email applications will not be considered. Early application is strongly encouraged because applications are processed as they are received.
Funding details
Available
What's required
PhD in Biological Sciences, Data Science, Computational Biology, or a related discipline is required. Prior professional experience as a postdoctoral researcher is preferred. Applicants should have a strong computational background with proficiency in R and at least one additional scripting language such as Python, solid biostatistics knowledge, experience with single-cell sequencing data and preferably spatial omics, and familiarity with high-performance computing environments. Good understanding of cancer biology, immunology, cell biology, and molecular biology is required, along with a proven track record of peer-reviewed publications, strong organizational skills, and excellent English (C1) proficiency.
How to apply
Apply online through the HR system; email applications will not be considered. Submit a CV, cover letter, PhD diploma or expected defense information, transcripts, publication list, and contact details for at least two referees. Early application is encouraged because applications are processed upon receipt.
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