Stellenangebot: Postdoc (m/f/d) bei Klinikum der Technischen Universität München (TUM Klinikum) AöR

Postdoc (m/f/d) 

Full- and part-time | temporary (12 months) | Klinik und Poliklinik für Innere Medizin II, Gastroenterologie

Your responsibilities:

• Independently design, implement, and execute computational workflows for cancer genomics, single-cell RNA sequencing, and spatial transcriptomics.
• Analyze somatic mutations, copy-number alterations, structural variants, and mutational signatures to investigate tumor evolution and therapeutic resistance.
• Characterize cellular heterogeneity, cell states, cell-cell interactions, and spatial organization within the tumor microenvironment, including the integration of single-cell and spatial datasets.
• Integrate genomic, transcriptomic, spatial, and proteomic datasets to identify molecular mechanisms, candidate drivers of disease progression, and potential therapeutic targets.
• Develop, adapt, and optimize analytical approaches, applying appropriate statistical and machine learning methods.
• Work closely with wet-lab scientists to interpret computational findings, formulate mechanistic hypotheses, and prioritize candidates for functional validation.
• Take ownership of computational projects, critically evaluate results, communicate findings to interdisciplinary collaborators, and contribute to manuscript preparation and publication.

Your profile:

• We are looking for a candidate with strong expertise in cancer genomics, in single-cell and spatial transcriptomics, or in both. Candidates with a strong background in one of these areas are encouraged to apply, provided they are motivated to collaborate across disciplines and expand their expertise into the other.
• A PhD in computational biology, bioinformatics, cancer genomics, or a related discipline.
• Substantial hands-on experience in cancer genomics (e.g., somatic variant calling, copy-number analysis, mutational signatures, and tumour evolution) and/or single-cell and spatial transcriptomics (e.g., analysis of cellular heterogeneity and integration of single-cell and spatial data), preferably in cancer research.
• Strong programming skills in Python and/or R, and experience running large-scale analyses on high-performance computing (HPC) systems.
• Demonstrated experience in statistical analysis, quality control, data visualization, and interpretation of complex biological datasets.
• The ability to plan and execute computational analyses independently, critically assess results, and draw biologically meaningful conclusions, with a strong interest in understanding cancer development, tumor evolution, and therapeutic resistance.
• Excellent communication and collaboration skills, including the ability to discuss complex computational findings with experimental biologists 
• A strong track record of scientific publications in relevant peer-reviewed journals

Desirable Qualifications:

• Expertise in both cancer genomics and single-cell/spatial transcriptomics, or experience with multi-omics integration.
• Familiarity with relevant tools and frameworks, including Scanpy/Scverse/Seurat, SpatialData, Squidpy, NCEM, Mutect2, ASCAT, Battenberg, GRIDSS2, and DPclust.
• Experience with mutational and copy-number signature analysis, tumor phylogenetics, RNA editing, or machine learning and deep learning approaches for genomic and transcriptomic data.
• Experience with workflow management tools such as Snakemake or Nextflow, version control, and reproducible computational environments (e.g., Conda, Docker/Singularity).

We offer you:

• EGYM well pass, corporate benefits and discounts (e.g. Käfer), cafeteria, sports and cultural offers, 
• 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)
• Self-realization through a varied and technically demanding job with interdisciplinary cooperation between various departments of the TUM Klinikum

We look forward to your application!

Contact: Dr. Sonja Wörmann | 089 / 4140 –2251 | Klinik und Poliklinik für Innere Medizin II, Gastroenterologie

Klinik und Poliklinik für Innere Medizin II, Gastroenterologie

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.