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Assistant/Associate Professor, Division of Biostatistics & Epidemiology

Cincinnati Children's Hospital Medical Center

Cincinnati, OHFull-timeSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Cincinnati, OH
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Cincinnati Children's Research Foundation invites applications for an Assistant Professor in its Division of Biostatistics and Epidemiology. The candidate will develop a research program in statistical methodology and apply AI to biomedical and population health research. The role includes collaboration, mentorship, and research funding responsibilities. Candidates should have a Ph.D. in statistics, biostatistics, or a related discipline, health research experience, and an interest in integrating AI into medical and health research.

Skills & qualifications

RequiredNice to have

Skills

Statistical Methodology DevelopmentArtificial IntelligenceMachine LearningComputational StatisticsBiostatisticsData ScienceHealth ResearchResearch Program DevelopmentGrant FundingMentorshipResearch Training

Qualifications

Ph.D. In Statistics, Biostatistics, or Related DisciplineHealth Research ExperiencePeer-Reviewed PublicationsExternal Research Funding Potential

Full job description

Primary Location Exploration Avenue Department Biostatistics & Epidemiology Shift Day (United States of America) Schedule Full time Weekly Hours 40 FTE 1 Employee Status Regular Cincinnati Children's Faculty Position in Biostatistics and Epidemiology Position Summary: The 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 discipline and experience with health research. We are seeking candidates with relevant training and expertise in research areas, including but not limited to artificial intelligence, machine learning, computational statistics, biostatistics or data science and other new technologies to improve and enhance biomedical and population health research processes. Development of a programmatic line of research in this area leading to high-quality peer-reviewed publications and the ability to successfully compete for grant funding is expected. Key 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. 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. About the Division: The Division of Biostatistics and Epidemiology at Cincinnati Children's Research Foundation includes twenty faculty and more than fifty staff with expertise in numerous statistical and epidemiological methods that advance understanding of child health. The Division partners with nearly all of the clinical and translational research programs of Cincinnati Children's, including established and emerging collaborations with the Division of Biomedical Informatics for projects requiring cutting-edge, high-dimensional data analysis techniques. Our faculty conduct independently funded research to develop statistical methods and advance the field of pediatric epidemiology. In addition to conducting research, the Division operates a shared research facility, the Data Management and Analysis Collaborative (DMAC), which leverages the statistical and epidemiological expertise of our faculty and staff to expand its ability to support the research enterprise of Cincinnati Children's. It is the largest centralized resource for study design, data management, and statistical analysis solely housed within the organization. About Us At Cincinnati Children's, we come to work with one goal: to make children's health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancin

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