Bioinformatician​/Computational Scientist; m​/f​/d Cancer Neuroscience

Stellenbezeichnung: Bioinformatician / Computational Scientist (m/f/d) – Cancer Neuroscience
Chirurgie Voll- und Teilzeitbefristet Stellen-.: _019

Ismaninger Straße (TUM Klinikum Rechts der Isar)
We are looking for an ambitious Bioinformatician / Computational Scientist to become a central part of our research program in Cancer Neuroscience and Translational Oncology.

Our laboratory studies how neural, immune, stromal and malignant cell populations interact within tumors and how these interactions influence tumor evolution, invasion, metastasis and therapeutic resistance.

A major focus of our work is the systematic characterization of the neural ecosystem of cancer using single-cell, spatial and multimodal datasets and the development of computational approaches capable of uncovering previously unrecognized cellular states and intercellular communication programs.

The group is supported by highly competitive funding including the European Research Council (ERC), Deutsche Forschungsgemeinschaft (DFG), Deutsche Krebshilfe and Else Kröner-Fresenius-Stiftung and operates within a strong international cancer neuroscience network.

Our ambition is to establish computational cancer neuroscience as a defining component of the emerging field and to generate datasets and concepts with international visibility.

Aufgaben 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 visualizationsA 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.

Profil We are looking for a candidate with a background in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, Data Science or Computational Genomicsstrong 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.

Benefits 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…