Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship für Medizinisches Dekanat Uni. Bern in Bern - myjob.ch
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      24.09.2026

      Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship

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      Medizinisches Dekanat Uni. Bern

      Medizinisches Dekanat Uni. Bern

      Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship

      UniBE is quintessentially Bernese.
      With us, you can expect a culture of respect and a healthy working environment.

      Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship

      Start Date

      Start date: 2027
      Workload: 100% (job-sharing models welcome)
      Location: Bern, Switzerland
      Duration: 4 years (an extension by a further two years may be considered following an evaluation before the end of the four-year term; the evaluation will also review long-term funding and the potential establishment of a structural professorship)

      Employment Relationship

      fixed-term

      Institution / Workplace

      Faculty of Medicine, University of Bern – Inselspital, Bern University Hospital

      About us

      About the Position
      The 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.
      This 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.
      The 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.

      Scientific Environment
      Bern offers a highly collaborative and rapidly evolving ecosystem in digital medicine, including:

      • Access to large-scale clinical datasets and real-world patient data
      • Established infrastructures in data science and clinical research
      • Strong interdisciplinary collaboration across clinical departments, biomedical research, and digital medicine
      • Integration within national and international research networks
      The 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).

      Your profile

      Your Responsibilities

      • Develop and lead an innovative research program in clinical cancer informatics
      • Advancement of standardized terminologies, interoperabilities and mapping strategies to harmonize heterogeneous data sources
      • Integrate heterogeneous clinical data sources and develop advanced analytical approaches
      • Contribute to the development of AI-based decision-support tools in radiation oncology and medical oncology
      • Strengthen interdisciplinary collaboration between clinical and computational disciplines
      • Acquire competitive third-party funding
      • Contribute to undergraduate and graduate teaching and supervise early-career researchers
      • Actively participate in the strategic development of digital medicine at the Faculty of Medicine
      Your Profile
      We are seeking a highly motivated and collaborative individual with:
      • A medical degree (MD or equivalent) or PhD with strong clinical insight
      • Excellent research achievements in clinical informatics, data interoperability and standardization, data science, or a related field
      • Experience with real-world medical data, AI, or computational methods in healthcare
      • A strong interest in translational and interdisciplinary research
      • Demonstrated ability (or strong potential) to lead research teams
      • Excellent communication skills and ability to work across disciplines
      • Fluency in English; German skills or willingness to acquire them
      What We Offer
      • A unique opportunity to shape a highly innovative and rapidly developing field
      • Access to excellent clinical and research infrastructure
      • Integration into a dynamic and collaborative academic environment
      • Dedicated funding through the endowed professorship
      • Support 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. (https://www.vereinbarkeit.unibe.ch/index_eng.html)

      Your Benefits

      International reputation

      Strong research infrastructure and international network

      Collaborative environment and ambitious team

      Individual career support

      Working at the University of Bern

      The University of Bern not only offers exciting tasks but also an environment that actively promotes development, diversity, and equal opportunities. Discover what makes us stand out as an employer and how you can grow with us.

      Application and Contact

      Applications must be submitted solely electronically no later than 22 October 2026 to the Dean's Office of the Medical Faculty of the University of Bern by this link
      https://www.recruiting.medizin.unibe.ch/position/14352393

      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 https://www.medizin.unibe.ch/research/academic_career_paths/professorship/index_eng.html#pane1397223
      or under https://kdrive.medicinebern.ch/app/share/991093/bc77beab-f75a-4634-bbeb-487240307ec0

      Questions about the position?

      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) ()

      Questions about the application?

      Dean's Office of the Faculty of Medicine, University of Bern, Murtenstrasse 24, CH-3008 Bern

      Arbeitsort: Bern