Assistant Professorship (non-tenure track) in Clinical Cancer Informatics<br/>Werner and Hedy Berger-Janser Foundation Endowed Professorship — Universität Bern

NewCHF 85'000 - 119'000
Universität Bern · Bern (BE)
Categoria: Sanità / Ospedali Contratto: full-time Salario: CHF 85'000 - 119'000
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Location
Bern
Contract
full-time
Posted
2 days ago
SalaryCHF 85'000 - 119'000

Role overview

UniBE is quintessentially Bernese.

With us, you can expect a culture of respect and a healthy working environment. Aufgaben:

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
Apply now

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.

How do I apply for this position at Universität Bern?

Use the "Apply now" button on this page — it links directly to Universität Bern's original listing at jobs.unibe.ch, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.

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Universität Bern · Bern
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