h3About the Position /h3 pThe Faculty of Medicine of the University of Bern and Inselspital, Bern University Hospital invite applications for an Assistant Professorship in Clinical Cancer Informatics, funded by the Werner and Hedy Berger-Janser Foundation. /p h3About Us /h3 pThe Faculty of Medicine of the University of Bern and Inselspital, Bern University Hospital invite applications for an Assistant Professorship in Clinical Cancer Informatics, funded by the Werner and Hedy Berger-Janser Foundation. /p pThis endowed professorship is embedded within the University Comprehensive Cancer Center Inselspital (UCI) and jointly affiliated with the Department of Medical Oncology and the Department of Radiation Oncology. /p pThe position aims to strengthen data-driven, patient-centered cancer research and to advance the integration of clinical data, artificial intelligence, and precision oncology. It is designed to serve as a key interface between clinical practice and data science, enabling the transformation of real-world data into clinically meaningful insights. /p h3Scientific Environment /h3 pBern offers a highly collaborative and rapidly evolving ecosystem in digital medicine, including: /p ul liAccess to large-scale clinical datasets and real-world patient data /li liEstablished infrastructures in data science and clinical research /li liStrong interdisciplinary collaboration across clinical departments, biomedical research, and digital medicine /li liIntegration within national and international research networks /li /ul pThe successful candidate will benefit from close collaboration with the Department of Clinical Research (DCR), the Department of Digital Medicine (DDM), and the Department for BioMedical Research (DBMR), the ARTORG Center for Biomedical Engineering Research and the Center for AI in Radiation Oncology (CAIRO). /p h3Your profile /h3 h3Your Responsibilities /h3 ul liDevelop and lead an innovative research program in clinical cancer informatics /li liAdvancement of standardized terminologies, interoperabilities and mapping strategies to harmonize heterogeneous data sources /li liIntegrate heterogeneous clinical data sources and develop advanced analytical approaches /li liContribute to the development of AI-based decision-support tools in radiation oncology and medical oncology /li liStrengthen interdisciplinary collaboration between clinical and computational disciplines /li liAcquire competitive third-party funding /li liContribute to undergraduate and graduate teaching and supervise early-career researchers /li liActively participate in the strategic development of digital medicine at the Faculty of Medicine /li /ul h3Your Profile /h3 pWe are seeking a highly motivated and collaborative individual with: /p ul liA medical degree (MD or equivalent) or PhD with strong clinical insight /li liExcellent research achievements in clinical informatics, data interoperability and standardization, data science, or a related field /li liExperience with real-world medical data, AI, or computational methods in healthcare /li liA strong interest in translational and interdisciplinary research /li liDemonstrated ability (or strong potential) to lead research teams /li liExcellent communication skills and ability to work across disciplines /li liFluency in English; German skills or willingness to acquire them /li /ul h3What We Offer /h3 ul liA unique opportunity to shape a highly innovative and rapidly developing field /li liAccess to excellent clinical and research infrastructure /li liIntegration into a dynamic and collaborative academic environment /li liDedicated funding through the endowed professorship /li liSupport 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.) /li /ul h3Self-conception /h3 pThe 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. ( /p h3Your Benefits /h3 ul liInternational reputation /li liStrong research infrastructure and international network /li liCollaborative environment and ambitious team /li liIndividual career support /li /ul #J-18808-Ljbffr
Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship Arbeitgeber: Be
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