Phd Position in Translational Tumor Immunology and

vor 7 Monaten


Erlangen, Deutschland Universitätsklinikum Erlangen Vollzeit

Group of translational tumor immunology, Institute of Pathology.

**Short Project description**: Muscle-invasive (MIBC) and metastatic urothelial cancer (mUC) are an aggressive type of cancer for which overall survival rates have shown little improvement over the past few decades despite promising therapeutic advances such as immunotherapy. We previously discovered spatially organized tumor immune microenvironment phenotypes in MIBC and mUC that associate with marked survival differences and resistance to immune checkpoint inhibitor immunotherapy. However, both MIBC and mUC, despite being considered highly immunogenic tumors due to high mutational burden, have shown to be immunotherapy resistant tumors, and patients mostly progress rapidly. Underlying mechanisms of this marked immunotherapy resistance, as well as tumor evolution and metastatic progression are poorly understood on the global and functional level. We aim to address three main hypotheses:
i) Key immune evasion mechanisms are acquired and evolved during tumorigenesis, and
ii) Early committed and later acquired immune evasion mechanisms of MIBC orchestrate organotropic metastatic evolution, translating into immunotherapy resistance, but
iii) Immune evasion mechanisms driving MIBC metastatic evolution, metastatic niche colonization and immunotherapy resistance can be targeted therapeutically.

**The Group (clinician scientist group)**:
If interested in joining a multidisciplinary and internationally minded team, do not hesitate to contact us

**Your tasks**:
Your main tasks pursuing the route to your PhD within the project will include:

- Scientific development of the funded project described above
- Sample and data processing for sequencing or proteogenomic approaches relying on bulk, single cell or spatial techniques.
- Establishment and maintenance of project relevant bioinformatical pipelines for processing and analyzing spatial single cell data of human cancer tissues (e.g., SpaceRanger, SquidPy, Seurat, Giotto, etc.) mainly relying on our high-performance in-house GPU cluster infrastructure and the R and python programming languages.

In-depth, hypothesis-driven bioinformatics analysis using cutting-edge data science tools.

**Essential experience/qualifications**:

- We are looking for interested, dynamic and agile medical scientists (MSc or MDs), who are able to develop, pursue and expand scientific projects in a cancer research area independently under close supervision.
- As your main responsibilities will be focused on data science and computational pathology, a strong interest in bioinformatics and computing, as well as pre-existing skills in coding and data analytics are recommended. Solid programming skills in R and python are considered an asset.
- We are not explicitly looking for people from specific disciplines, but for motivated applicants who intend to start a scientific career in translational cancer research with a focus on spatial tissue biology and data science.
- Adequate English speaking and writing skills are required.

Zusätzlich von Vorteil
- Advanced biological data analysis skills using R and python programming environments.
- Skills in digital pathology analysis tools such as QuPath or Cellpose

Knowledge of high-performance computing environments using current deep learning platforms such as Tensorflow and PyTorch.

**We offer**:
Work on a cutting-edge scientific project with high international visibility
An interesting position in a motivated open-minded international and multidisciplinary team
Regular team building events and activities outside the institution
Careful and qualified training and support for the new challenge
Varied and responsible field of activity with individual development opportunities
Comprehensive health promotion offers
All public service benefits, including supplementary benefits from the Federal and State Government Employees' Retirement Fund (VBL)
Family-friendly environment and, where appropriate, places in halls of residence
Crediting of previous work experience possible

Wir zählen zu den besten Krankenhäusern Deutschlands und sind einer der größten Arbeitgeber in Mittelfranken. Diesen Erfolg erarbeiten tagtäglich unsere über 9.500 hoch qualifizierten Beschäftigten in unterschiedlichsten Berufen. Wir als Uniklinikum Erlangen wissen, dass alle unsere Beschäftigten wichtig sind, damit auch in Zukunft modernste Medizin, ausgezeichnete Forschung und Patientenversorgung auf höchstem Niveau gelingen.

Wenn Sie sich eine Tätigkeit mit einem hohen sozialen Wert wünschen und die Welt der Spitzenmedizin mit uns gemeinsam gestalten und ermöglichen möchten, dann sind Sie bei uns richtig

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