Assistant Professorship (non-tenure track) in Clinical Cancer Informatics<br/>Werner and Hedy Berger-Janser Foundation Endowed Professorship — Universität Bern
- Location
- Bern
- Contract
- full-time
- Posted
- 2 days ago
Role overview
UniBE is quintessentially Bernese.
With us, you can expect a culture of respect and a healthy working environment. Aufgaben:
- UniBE is quintessentially Bernese.
- With us, you can expect a culture of respect and a healthy working environment. Aufgaben:
- Your Responsibilities
- Develop and lead an innovative research program in clinical cancer informatics
- 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
Main responsibilities
- 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
Key requirements
- 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.) Anforderungen:
What the company offers
- International reputation
Application process
- 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 )
Additional details
- With us, you can expect a culture of respect and a healthy working environment.
- Strengthen interdisciplinary collaboration between clinical and computational disciplines Acquire competitive third-party funding
- We are seeking a highly motivated and collaborative individual with: A medical degree (MD or equivalent) or PhD with strong clinical insight
- Experience with real-world medical data, AI, or computational methods in healthcare A strong interest in translational and interdisciplinary research
- Excellent communication skills and ability to work across disciplines Fluency in English;
- German skills or willingness to acquire them
- 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.)
Notes and original content
- Strengthen interdisciplinary collaboration between clinical and computational disciplines
- Acquire competitive third-party funding
- Your Profile
- We are seeking a highly motivated and collaborative individual with:
- A medical degree (MD or equivalent) or PhD with strong clinical insight
- Experience with real-world medical data, AI, or computational methods in healthcare
- A strong interest in translational and interdisciplinary research
- Excellent communication skills and ability to work across disciplines
- Fluency in English;
- What We Offer
Questions about this listing
What salary does Universität Bern offer for this role?
Universität Bern lists CHF 85'000 - 119'000 gross per year for this position in Bern. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Universität Bern offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Universität Bern during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Bern?
EU/EFTA residents living in the border zone of the country adjoining Canton Bern can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Bern's cantonal migration office or with HR during the application.
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