Assistant Professorship of Computational Functional Tumor Pathology
Tuesday 20th January 2026
Contact Email for the Job Positingbjoern.menze@uzh.ch
OrganizationUniversity of Zurich
LocationZurich, Switzerland
TitleAssistant Professorship of Computational Functional Tumor Pathology
URLhttps://jobs.uzh.ch/job-vacancies/non-tenure-track-assistant-professorship-of-computational-functional-tumor-pathology/cfc5e3e6-4f88-4a02-9fde-d4520afebcb7
Closing dateMar 04, 2026
DescriptionThe UZH Faculty of Medicine invites applications for a Non-Tenure Track Assistant Professorship of Computational Functional Tumor Pathology. The professorship is based at the Department of Pathology and Molecular Pathology of the University Hospital Zurich in close collaboration with the Department of Quantitative Biomedicine, which belongs to the Faculty of Science and the Faculty of Medicine, as well as with the Department of Medical Oncology and Hematology of the University Hospital Zurich. The successful candidate possesses solid knowledge of computer-based methods for image analysis and the analysis of multi-omics data in the context of pathology and oncology. In-depth expertise in tumor biology – particularly in the study of tumor heterogeneity, resistance mechanisms, and cellular plasticity – is required. The position further requires expertise in the use and development of AI-based approaches for image and data analysis. A general understanding of methods for in silico prediction, modeling, or data integration and/or of experimental techniques (e.g., ex vivo or in vitro analyses) is considered an asset. Experience in interdisciplinary collaboration between biomedical research, clinical practice, and data science is also expected. Ideally, the candidate has a strong interest in translational research questions and actively contributes to the development of innovative strategies to better understand complex biological processes in tumors and translate them into clinical applications.
The University of Zurich is a highly attractive institution for cutting edge research with plenty of opportunities for collaborations across its faculties and with its university hospitals. The nearby Swiss Federal Institute of Technology (ETH Zurich) is an additional asset. The successful candidate is expected to strengthen the existing and to establish new collaborations within the hospital and with other research institutions.
The University of Zurich is an equal opportunities employer and in particular strives to increase the percentage of women in leading positions. Therefore, qualified female researchers are encouraged to apply.
The University of Zurich sees researchers as modern leadership personalities who conduct excellent research - taking into account the Open Science principles - through their own research projects, promote excellent young researchers and who help to shape a forward-looking university with innovative research-based teaching.
| Contact Email for the Job Positing | bjoern.menze@uzh.ch |
|---|---|
| Organization | University of Zurich |
| Location | Zurich, Switzerland |
| Title | Assistant Professorship of Computational Functional Tumor Pathology |
| URL | https://jobs.uzh.ch/job-vacancies/non-tenure-track-assistant-professorship-of-computational-functional-tumor-pathology/cfc5e3e6-4f88-4a02-9fde-d4520afebcb7 |
| Closing date | Mar 04, 2026 |
| Description | The UZH Faculty of Medicine invites applications for a Non-Tenure Track Assistant Professorship of Computational Functional Tumor Pathology. The professorship is based at the Department of Pathology and Molecular Pathology of the University Hospital Zurich in close collaboration with the Department of Quantitative Biomedicine, which belongs to the Faculty of Science and the Faculty of Medicine, as well as with the Department of Medical Oncology and Hematology of the University Hospital Zurich. The successful candidate possesses solid knowledge of computer-based methods for image analysis and the analysis of multi-omics data in the context of pathology and oncology. In-depth expertise in tumor biology – particularly in the study of tumor heterogeneity, resistance mechanisms, and cellular plasticity – is required. The position further requires expertise in the use and development of AI-based approaches for image and data analysis. A general understanding of methods for in silico prediction, modeling, or data integration and/or of experimental techniques (e.g., ex vivo or in vitro analyses) is considered an asset. Experience in interdisciplinary collaboration between biomedical research, clinical practice, and data science is also expected. Ideally, the candidate has a strong interest in translational research questions and actively contributes to the development of innovative strategies to better understand complex biological processes in tumors and translate them into clinical applications. The University of Zurich is a highly attractive institution for cutting edge research with plenty of opportunities for collaborations across its faculties and with its university hospitals. The nearby Swiss Federal Institute of Technology (ETH Zurich) is an additional asset. The successful candidate is expected to strengthen the existing and to establish new collaborations within the hospital and with other research institutions. The University of Zurich is an equal opportunities employer and in particular strives to increase the percentage of women in leading positions. Therefore, qualified female researchers are encouraged to apply. The University of Zurich sees researchers as modern leadership personalities who conduct excellent research - taking into account the Open Science principles - through their own research projects, promote excellent young researchers and who help to shape a forward-looking university with innovative research-based teaching. |