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Assistant Professor

University of Nebraska Medical Center
Omaha, NE, USA
Full-time

Position Summary

The Department of Epidemiology seeks a dynamic individual to join our faculty as a Public Health Informatics (PHI) faculty member.

Our department is committed to excellence in research, teaching, and service, focusing on understanding and promoting population health.

We are dedicated to fostering a collaborative and inclusive environment where faculty can thrive and contribute significantly to the field.

This tenure-leading position offers an exciting opportunity to develop and lead a vibrant Public Health Informatics program within an established and well-respected Department of Epidemiology.

The successful candidate will be able to contribute to cutting-edge research, teach innovative courses, and engage in meaningful service activities that benefit the public health community. Required Qualifications

  • PhD or similar in Public Health Epidemiology, Informatics, Information Science, or a closely related field.
  • Demonstrated experience in teaching at the graduate level.
  • A record of scholarship in public health informatics, evidenced by publications in peer-reviewed journals.
  • Experience with informatics solutions, data science, data integration, analysis, and visualization tools relevant to public health.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Commitment to diversity, equity, and inclusion.

Supplemental Qualifications

  • Experience preparing proposals and securing external research funding.
  • Experience with querying complex databases (SQL & NoSQL ideally)
  • Experience working with common sources of public health data (Registries, National Surveys, Medicare / Medicaid claims, Health Records, etc.)
  • Proficiency in data visualization software? PowerBI, Tableau, etc.
  • Experience with public health informatics practice and policy issues governance), preferably in a health department or healthcare organization.
  • Fluency in statistical programming languages R, SAS).
  • Experience with public health information systems
  • 30+ days ago
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