Assistant/Associate Professor, AI-Driven Biostatistics

Cincinnati Children's Hospital Medical Center; Cincinnati (OH); On-site; USD 120,000 - 180,000; Full time

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 have a Ph.D.

in statistics, biostatistics, or related field and experience with health research, and will build a programmatic line of research in AI, machine learning and computational statistics. You will lead a research program, apply AI methods to biomedical and population health studies, collaborate across

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

Research mentorship

Collaboration

AI in health research

Grant writing

Education

PhD in statistics/biostatistics or related field

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 have a Ph.D.

in statistics, biostatistics, or related field and experience with health research, and will build a programmatic line of research in AI, machine learning and computational statistics. You will lead a research program, apply AI methods to biomedical and population health studies, collaborate across