"Open-Rank Tenure-Track Faculty Position Department of Biomedical Informatics, Division of Bioinformatics and Computational Biology College of Medicine"

Position Overview

Division of Bioinformatics and Computational Biology (DBCB, https://medicine.osu.edu/departments/biomedical-informatics/divisions/division-of-bioinformatics-and-computational-biology-division-bcbs) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu) at The Ohio State University (OSU) is currently seeking applicants for tenure-track faculty at the Assistant, Associate, and Full Professor levels with research interests in bioinformatics and computational biology.

Recruited faculty will join a highly collaborative community of more than thirty investigators working in a wide variety of BMI sub-domains, including bioinformatics, artificial intelligence (AI) in digital health, biostatistics, clinical informatics, and implementation science, among others. Successful candidates will maintain an active research program in bioinformatics, collaborate with investigators across the health sciences campus, teach courses within our education programs, and mentor students.

While open to all bioinformatics research areas, we are particularly interested in one or more of the following areas:

• AI and deep learning methods (AI/DL) for multi-modal data modeling and integration, e.g., multi-omics, electronic medical records (EMRs), and/or biomedical imaging data, among others.
• AI/DL for omics-based predictive modeling, e.g., disease risk, treatment response, or adverse events.
• AI/DL methodologies, foundation models, AI agents, digital twins, cloud computing, and cyberinfrastructure, in the context of bioinformatics.
• Population and functional genomics, e.g., DNA foundation models and relevant AI/DL, pan-genome analysis, structural variant analysis, and multi-omics integration.
• Proteomics/metabolomics/microbiome, including development of statistical and computational methods, pipeline, and software for data analysis and integration with other modalities.

Performance Objectives

• Successful candidates will develop research methodologies, collaborate with investigators across the health sciences campus, and publish high-impact research papers.
• Successful candidates will secure funding to support the research program, including both independent and team science research.
• Successful candidates will contribute to developing and teaching courses within our education programs.
• Successful candidates will mentor graduate students.

Education and Experience Requirements

Required: Successful applicants should have a Ph.D. in bioinformatics, computer science, statistics/biostatistics, mathematics, or related fields.

Desired: Successful applicants at the Associate or Full Professor level should demonstrate a successful record of publishing high-impact papers, securing research funding, mentoring trainees, and developing/teaching courses at different levels. Successful applications at the Assistant Professor level should show strong evidence and potential for future achievement in these directions.

How to Apply

To be considered, please submit your application electronically via Workday. Application materials must include:

Required:

• Cover letter
• Curriculum Vita (CV)
• Statement of Research
• Statement of Teaching and Mentoring

Application closes 03/31/2026