Assistant Professor, Clinical Cancer Informatics

Kanton Bern

Bern

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Unique opportunity
Strong research infra
Collaborative environment
Dedicated funding

Zusammenfassung

The University of Bern and Inselspital invite applications for an Assistant Professorship in Clinical Cancer Informatics to advance data-driven cancer research and the integration of clinical data, AI, and precision oncology. This role serves as a bridge between clinical practice and data science, enabling real-world data to inform patient care.

Applicants should hold an MD or PhD with strong clinical insight and a record of excellence in informatics, data interoperability, and analytics.

Qualifikationen

  • MD or PhD with strong clinical insight in cancer care and data science.
  • Proven achievements in clinical informatics and data interoperability.
  • Experience with real-world medical data and AI in healthcare is desirable.

Aufgaben

  • Develop and lead an innovative research program in clinical cancer informatics.
  • Advance standards for data interoperability and mapping across heterogeneous sources.
  • Integrate clinical data sources and develop advanced analytical approaches.
  • Contribute to AI-based decision-support tools in oncology.
  • Lead interdisciplinary collaboration and acquire external funding.
  • Contribute to teaching and supervise early-career researchers.
  • Shape digital medicine strategy within the Faculty.

Kenntnisse

MD or PhD
Clinical informatics
Data interoperability
AI in healthcare
Team leadership

Ausbildung

MD or PhD

Jobbeschreibung

The University of Bern and Inselspital invite applications for an Assistant Professorship in Clinical Cancer Informatics to advance data-driven cancer research and the integration of clinical data, AI, and precision oncology. This role serves as a bridge between clinical practice and data science, enabling real-world data to inform patient care.

Applicants should hold an MD or PhD with strong clinical insight and a record of excellence in informatics, data interoperability, and analytics.

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