Euraxess
Organisation/Company KU LEUVEN Department Oncology Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 23 Jan 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 6 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-747 Is the Job related to staff position within a Research Infrastructure? No
Offer Description The team is seeking a highly motivated PhD candidate in bioinformatics to join this multidisciplinary clinical and translational research team focused on advanced multi-omics-based trials in colorectal cancer. The successful candidate will support the analyses of single-cell and spatial transcriptomics datasets generated from the team’s ongoing and upcoming industry- and investigator-led clinical trials, with the
goal of uncovering mechanisms of treatment resistance.
The candidate will be part of a highly interconnected international network of academic and industry partners. The candidate will have
full access to cutting-edge computational frameworks, cloud infrastructures, and state-of-the-art single-cell and spatial technologies
through these collaborations. You will be embedded in a vibrant environment that values innovation, teamwork, and scientific rigor, with direct impact on ongoing clinical trials.
Responsibilities
Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples.
Integrate multi-modal genomic, clinical, and pathological data to generate biologically meaningful insights.
Work closely with clinicians, wet-lab scientists, pathologists, and immunologists to define and prioritize mechanisms of treatment resistance.
Collaborate with international bioinformatics teams and technology partners to apply the latest analytical pipelines and emerging computational tools.
Contribute to scientific publications and presentations at international conferences.
Qualifications
Master’s degree in Bioinformatics, Computational Biology, Systems Biology, Computer Science, Engineering, or a related field.
Prior experience with single-cell and/or spatial transcriptomics analysis (e.g., Seurat, Scanpy, Squidpy, Cell Ranger, Space Ranger) is highly desirable but not strictly required—strong interest and willingness to learn are essential.
Solid programming skills in
Python
and/or
R ; experience with reproducible workflows (Git, Snakemake/Nextflow, containers) is a plus.
Interest in cancer biology, tumor microenvironment biology, or immuno-oncology is an asset.
Ability to work both independently and collaboratively within an interdisciplinary team.
Strong communication skills and good organization.
Proficiency in written and spoken English is required.
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Offer Description The team is seeking a highly motivated PhD candidate in bioinformatics to join this multidisciplinary clinical and translational research team focused on advanced multi-omics-based trials in colorectal cancer. The successful candidate will support the analyses of single-cell and spatial transcriptomics datasets generated from the team’s ongoing and upcoming industry- and investigator-led clinical trials, with the
goal of uncovering mechanisms of treatment resistance.
The candidate will be part of a highly interconnected international network of academic and industry partners. The candidate will have
full access to cutting-edge computational frameworks, cloud infrastructures, and state-of-the-art single-cell and spatial technologies
through these collaborations. You will be embedded in a vibrant environment that values innovation, teamwork, and scientific rigor, with direct impact on ongoing clinical trials.
Responsibilities
Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples.
Integrate multi-modal genomic, clinical, and pathological data to generate biologically meaningful insights.
Work closely with clinicians, wet-lab scientists, pathologists, and immunologists to define and prioritize mechanisms of treatment resistance.
Collaborate with international bioinformatics teams and technology partners to apply the latest analytical pipelines and emerging computational tools.
Contribute to scientific publications and presentations at international conferences.
Qualifications
Master’s degree in Bioinformatics, Computational Biology, Systems Biology, Computer Science, Engineering, or a related field.
Prior experience with single-cell and/or spatial transcriptomics analysis (e.g., Seurat, Scanpy, Squidpy, Cell Ranger, Space Ranger) is highly desirable but not strictly required—strong interest and willingness to learn are essential.
Solid programming skills in
Python
and/or
R ; experience with reproducible workflows (Git, Snakemake/Nextflow, containers) is a plus.
Interest in cancer biology, tumor microenvironment biology, or immuno-oncology is an asset.
Ability to work both independently and collaboratively within an interdisciplinary team.
Strong communication skills and good organization.
Proficiency in written and spoken English is required.
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