Assistant professorship

Vor 13 Stunden

bern, Schweiz University Of Bern Vollzeit
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Your profile
Your ResponsibilitiesDevelop and lead an innovative research program in clinical cancer informaticsAdvancement of standardized terminologies, interoperabilities and mapping strategies to harmonize heterogeneous data sourcesIntegrate heterogeneous clinical data sources and develop advanced analytical approachesContribute to the development of AI-based decision-support tools in radiation oncology and medical oncologyStrengthen interdisciplinary collaboration between clinical and computational disciplinesAcquire competitive third-party fundingContribute to undergraduate and graduate teaching and supervise early-career researchersActively participate in the strategic development of digital medicine at the Faculty of MedicineYour ProfileA medical degree (MD or equivalent) or Ph D with strong clinical insightExcellent research achievements in clinical informatics, data interoperability and standardization, data science, or a related fieldExperience with real-world medical data, AI, or computational methods in healthcareA strong interest in translational and interdisciplinary researchDemonstrated ability (or strong potential) to lead research teamsExcellent communication skills and ability to work across disciplinesFluency in English; German skills or willingness to acquire themWhat

We Offer
A unique opportunity to shape a highly innovative and rapidly developing fieldAccess to excellent clinical and research infrastructureIntegration into a dynamic and collaborative academic environmentDedicated funding through the endowed professorshipSupport for career development and long-term perspectives (following an evaluation before the end of the four-year term, an extension by a further two years may be considered; long-term funding and the potential establishment of a structural professorship will also be reviewed.)Self-conception
The University of Bern is committed to increasing the proportion of women in academic leadership positions and strongly encourages applications from female candidates and individuals from underrepresented groups. Applications under job-sharing models are welcome; interested parties are requested to submit a corresponding concept. Flexible working arrangements are supported. ()For further information, please contact the Chair of the appointment committee: Prof. Dr. Inti Zlobec, Professor of Digital Pathology at the Institute of Tissue Medicine and Pathology, and Director of the Department of Digital Medicine (DDM) ( )Further information regarding required documentation can be found under or under