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

Klinikum der Technischen Universität München (TUM Klinikum); München; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

EGYM well pass

Company pension plan

Job summary

Klinikum der Technischen Universität München (TUM Klinikum) seeks a Bioinformatician / Computational Scientist to join its Cancer Neuroscience and Translational Oncology program in Munich. You will analyze complex translational datasets, focusing on neural–tumor–immune interactions, and work with international collaborators to advance computational cancer neuroscience.

The role emphasizes developing novel computational methods, integrating multi-omic data, and delivering publication-ready

Qualifications

• We are seeking candidates with a background in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, Data Science or Computational Genomics.
• Strong expertise in several areas: R and/or Python, single-cell transcriptomics, spatial transcriptomics, RNA-seq analysis, high-dimensional data statistics, data visualization, reproducible workflows and data integration.
• Experience in cancer biology, neuroscience, immunology or spatial biology is welcome but not mandatory if there is strong biological interest.
• Applicants should aim to formulate biological hypotheses, develop computational concepts and actively shape scientific projects.

Responsibilities

• Collaborate with experimental scientists and clinicians to perform computational analysis of translational datasets.
• Lead analyses in single-cell RNA sequencing, spatial transcriptomics, bulk RNA-seq and multimodal data.
• Develop novel computational approaches for identifying neural-associated tumor states and cell–cell interactions.
• Create publication-quality pipelines and visualizations; contribute to cross-disciplinary projects.

Skills

Bioinformatics

Computational Biology

R and Python

Single-cell transcriptomics

Spatial transcriptomics

Data visualization

Reproducible workflows

Tools

None

Job description

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 Kr"oner-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 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.

Profil

• 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.

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 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 as substantial 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. "K"afer), 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)

Kontakt

Sarah M"o"ssmer

Klinik und Poliklinik f"ur Chirurgie

089 4140 2044

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.