PhD Position (Translational Tumor Immunology)

Investigate mechanisms of response and resistance to immune checkpoint blockade in solid tumors, with a focus on head and neck and esophagogastric cancers Characterize the tumor immune microenvironment using spatial proteomics, multiplex imaging and spatial transcriptomics Integrate tissue-based immune profiles with blood-based biomarkers, immune repertoires and clinical outcomes to identify markers for patient stratification and treatment response Establish patient-derived 3D tumor models and explants and perform functional tumor–immune cell experiments to validate resistance mechanisms and therapeutic strategies Take an active role in planning and conducting the project, analysing complex datasets, collaborating with clinical and scientific partners, and presenting and publishing your findings

Es gibt viele Gründe, zu uns zu kommen: Am USB arbeiten heisst in erster Linie, Teil eines engagierten Teams aus über 7500 Mitarbeitenden aus rund 90 Nationen zu sein. Unser lebhafter Alltag ist geprägt von zukunftsweisender Forschung, Spitzenmedizin und Wissenstransfer auf höchstem Niveau. Dazu kommen eine moderne Unternehmenskultur, Inter-disziplinarität, inspirierende Innovationskraft und vielseitige Aus- und Weiterbildungsmöglichkeiten.

Möchten Sie mit uns das Spital der Zukunft gestalten? Dann werden Sie Teil von uns! #TeamUSB

• Master's degree in biology, biomedical sciences, biochemistry, molecular medicine, immunology, cancer biology or a related life-science discipline

• Strong interest in translational cancer research, tumor immunology and modern spatial profiling technologies

• Solid hands-on experience in mammalian cell culture and molecular or cellular biology, ideally in the context of tumor biology

• Initiative, scientific curiosity and the ability to work independently and collaboratively in an interdisciplinary and international environment

• Excellent English language skills; experience with primary human samples, flow cytometry, spatial technologies, 3D models, functional assays or quantitative data analysis using R/Python is an advantage