Bioinformatician / Computational Scientist (m/f/d) – Cancer Neuroscience

• *Your responsibilities:**
• You will work closely with experimental scientists, clinician scientists, pathologists and international collaborators and will take responsibility for the computational analysis of complex translational datasets.
• **Key areas include:** single-cell RNA sequencing, spatial transcriptomics, high-plex spatial imaging and transcriptomic platforms, bulk RNA sequencing, multimodal datasets, tumor microenvironment analysis, cell-state and trajectory analysis, ligand–receptor and cell–cell communication analyses, neural–tumor–immune interaction networks, integration of experimental and clinical datasets
• **Depending on your interests and expertise, projects may also involve:** development of novel computational approaches for identifying neural-associated tumor states, spatial neighborhood and tissue architecture analyses, integration of transcriptomic, genomic and epigenomic datasets, comparative analyses across cancer entities, machine-learning-based patient or phenotype stratification, analysis of large public cancer datasets, generation of publication-quality computational frameworks and visualizations
• A particular scientific opportunity will be the development of computational strategies to identify and characterize neural-like, neuroplastic and neuron-interacting cancer cell states and their spatial relationship with nerves, immune cells and stromal populations.
• *Your profile:**
• We are looking for a candidate with a background **in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, Data Science or Computational Genomics**
• **strong expertise in several of the following areas:** R and/or Python, single-cell transcriptomics, spatial transcriptomics, RNA-seq analysis, statistical analysis of high-dimensional biological data, data visualization, reproducible computational workflows, integration of heterogeneous biological datasets
• Experience in **cancer biology, neuroscience, immunology or spatial biology** is particularly welcome but is not mandatory if there is a strong interest in learning the underlying biology.
• We value candidates who do not see bioinformatics merely as a service function, but who want to **formulate biological hypotheses, develop computational concepts and actively shape scientific projects**.
• *We offer you:**
• You will become a core member of a highly interdisciplinary research group combining: Cancer Biology, Neuroscience, Immunology, Spatial Biology, Computational Science
• An extension beyond the initial funding period is explicitly envisaged, depending on scientific performance, project development and future funding.
• access to unique and deeply characterized human and experimental datasets and close interaction with experimental scientists and clinician scientists
• highly competitive ERC-, DFG-, Deutsche Krebshilfe- and foundation-funded projects
• opportunities for first- and co-authorship on high-impact publications as well assubstantial freedom to develop computational projects and methodological approaches
• participation in an international network at the forefront of Cancer Neuroscience
• the possibility to establish an independent computational profile within this rapidly developing field
• EGYM well pass, corporate benefits and discounts (e.g. Käfer), cafeteria, sports and cultural offers, company bike
• Working in the heart of Munich at Max-Weber-Platz with very good accessibility by public transport such as the subway, S-Bahn or tram
• Company pension plan through the Federal and State Pension Institute (VBL)
• *We look forward to your application!**
• *Contact: Sarah Mößmer | – 2044 | Klinik und Poliklinik für Chirurgie**

Klinik und Poliklinik für Chirurgie

TUM Klinikum

Rechts der Isar

Ismaninger Straße 22

81675 München

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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Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026