Professor, Real-World Pharmacoepidemiology & Public Health

CHEManager International

Zürich

On-site

CHF 180,000 - 240,000

Full time

8 days ago

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Job summary

ETH Zurich invites applications for a professorship in pharmacoepidemiology and public health at the Institute of Pharmaceutical Sciences. The appointee will establish an internationally recognized research group focusing on post-approval drug safety using real-world data and epidemiological methods, with emphasis on pharmacogenetics, polypharmacy, and machine learning.

The successful candidate will contribute to undergraduate and graduate teaching, collaborate with Swiss hospitals, and lead

Qualifications

  • Track record of real-world evidence-based research on medication use, safety and efficacy.
  • Ability to lead interdisciplinary, multi-institutional research programs.
  • Experience in establishing partnerships with clinical teams, healthcare providers and policymakers.
  • Contributes to undergraduate and graduate teaching at the interface of pharmacoepidemiology and data science.

Responsibilities

  • Build and lead a pharmacoepidemiology and public health research group at ETH Zurich.
  • Develop independent research program including novel statistical or methodological approaches.
  • Collaborate with Cantonal Hospital Baden and other Swiss hospitals.
  • Teach and mentor students and junior researchers in epidemiology and clinical pharmacology.

Skills

Pharmacoepidemiology
Real-world evidence
Interdisciplinary collaboration
Teaching

Education

PhD in Epidemiology/Public Health/Clinical Pharmacy/Biostatistics/Data Science
MD/PhD or comparable degree

Tools

R
Python
Machine learning

Job description

ETH Zurich invites applications for a professorship in pharmacoepidemiology and public health at the Institute of Pharmaceutical Sciences. The appointee will establish an internationally recognized research group focusing on post-approval drug safety using real-world data and epidemiological methods, with emphasis on pharmacogenetics, polypharmacy, and machine learning.

The successful candidate will contribute to undergraduate and graduate teaching, collaborate with Swiss hospitals, and lead

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