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Department of Biomedical Informatics, Division of Biostatistics and Population Health, Biostati

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: The Ohio State University
Full Time position
Listed on 2026-01-01
Job specializations:
  • Healthcare
    Health Science
  • Education / Teaching
    University Professor, Health Science
Job Description & How to Apply Below
Position: Department of Biomedical Informatics, Division of Biostatistics and Population Health, Biostati...

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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 applicants for open rank tenure‑track faculty in biostatistics. Academic rank and track commensurate with academic record and experience.

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).
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. Opportunities to develop methodologies, contributing to the academic mission through teaching in graduate programs,
mentoring M.S. and Ph.D. students, and supervising research trainees are available and encouraged.

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 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 (Lai.

Wei). 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 of BMI has one of the most comprehensive academic programs in the nation, including clinical informatics, AI in digital health, implementation science, bioinformatics, and biostatistics. They have a strong diversity, equity, inclusive culture for faculty who develop careers in both innovative research and collaborative research.

Faculty in the Department of BMI have access to resources to assist in grant writing, management, and to stimulate collaboration. The department has a robust training curriculum for Ph.D., Masters, and Certificate programs. The department has also established a significant amount of resources in clinical data and high‑performance computing and data storage. Faculty and staff in BMI can leverage an advanced information system…

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