Assistant Professor of AI-Driven Biostatistics

CO00 Children's Hospital Medical Center

United States

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Cincinnati Children's Research Foundation invites applications for an Assistant Professor position in the Division of Biostatistics and Epidemiology. The successful candidate will lead independent research in statistical methodology and AI applications to health and population health research, with a strong emphasis on grant funding and high-quality publications.

The ideal candidate will have a Ph.D. in statistics/biostatistics or related fields and demonstrated ability to establish a fundable

Qualifications

  • Ph.D. in statistics, biostatistics, or related discipline, with demonstrated experience in health research.
  • Demonstrated potential to develop a fundable research program, supported by significant contributions to peer-reviewed literature and the aptitude to compete successfully for external research funding.
  • Demonstrated mentorship and research training experience.
  • Interest in integrating AI into medical and health research.

Responsibilities

  • Develop and lead a robust research program in statistical methodology development.
  • Develop and apply AI methodologies to enhance biomedical and population health research.
  • Establish strong collaboration with other divisions or investigators.
  • Provide mentorship to postdoctoral fellows, students and staff, enriching the academic and research environment.
  • Effectively manage research funding and contribute to the division's resource development.

Skills

Health research experience
Mentorship
Collaboration

Education

PhD in statistics/biostatistics or related

Job description

Cincinnati Children's Research Foundation invites applications for an Assistant Professor position in the Division of Biostatistics and Epidemiology. The successful candidate will lead independent research in statistical methodology and AI applications to health and population health research, with a strong emphasis on grant funding and high-quality publications.

The ideal candidate will have a Ph.D. in statistics/biostatistics or related fields and demonstrated ability to establish a fundable

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