Department of Biomedical Informatics, Division of Biostatistics and Population Health, Biostati[...]

Position Overview Candidates with expertise and interests in clinical trial, population health science, Bayesian statistics, epidemiology, causal inference, statistical learning, artificial intelligence (AI), high-dimensional data, and/or electronic medical records are encouraged to apply. Successful applicants should have a Ph.D. in Statistics, Biostatistics, Epidemiology or a related discipline, with scientific collaboration and research interests in one or more of the following areas: Clinical trials, including Bayesian designs, pragmatic trials, hybrid-type studies, clustered designs, de-centralized trials, and rapid cycle research to support learning health systems. High-dimensional data, including complex correlated structures, novel omic data platforms, statistical methods in AI/ML, and methodological innovation for large-scale, real-world datasets. Population health and observation studies including cross-sectional studies, case-control studies, cohort studies, structural equation modeling, geospatial modeling, missing data, population-level risk prediction, and measurement errors Community-based research, health disparities, and social determinants of health (SDoH) Job Title: Department of Biomedical Informatics, Division of Biostatistics and Population Health, Biostatistics (Open Rank Tenure-Track) Department: Medicine | School Biomed Sci - Biomedical Informatics Division of Biostatistics and Population Health (BPH) in the Department of Biomedical Informatics (BMI), and Center for Biostatistics (CFB) at The Ohio State University (OSU) is currently seeking open rank tenure-track faculty in biostatistics. Academic rank and track commensurate with academic record and experience. Duties And Responsibilities Successful candidates will work as part of a collaborative team with investigators across the health sciences campus to develop grant proposals and design studies for clinical trials, large cohorts, population research, basic science, and high-throughput omics at both The Ohio State University and Nationwide Children’s Hospital. The role includes opportunities to develop methodologies and contribute to the academic mission through teaching in graduate programs, mentoring MS and PhD students, and supervising research trainees. Requirements Applicants should have a Ph.D. in Statistics, Biostatistics, Epidemiology or a related discipline. How To Apply To be considered, please submit your application electronically. Application materials must include a cover letter, a Curriculum Vitae, a statement of research plans (limited to 3 pages), and a statement of teaching and mentoring. Any questions can be directed to the chair of the search committee, Dr. Lai Wei (View email address on click.appcast.io). Evaluation of applications is underway and will continue until positions are filled. Department/Division Overview The Department of BMI provides an academic home for informatics and biostatistics research, development and training at Ohio State. The department has a comprehensive program in clinical informatics, AI in digital health, implementation science, bioinformatics, and biostatistics. It supports diversity, equity, and inclusive culture and offers resources to assist in grant writing, management, and collaboration. The department has a robust training curriculum for PhD, Masters, and Certificate programs and extensive resources in clinical data and high-performance computing. Faculty and staff in BMI can leverage an advanced information systems environment including inpatient and outpatient electronic health records, data warehousing platforms, and enterprise research information systems. The University Ohio State is a top-20 public university, and its Wexner Medical Center is a leading academic health center. Ohio State employees receive comprehensive benefits packages and various tuition and retirement options. The university emphasizes diversity and a culture of civil and free inquiry and is committed to equal opportunity employment. Final candidates are subject to successful completion of a background check. A drug screen or health screenings may be required during the post-offer process. Location: Lincoln Tower (0271) • Position Type: Regular • Scheduled Hours: 40 • Shift: First Shift #J-18808-Ljbffr null