Faculty - Department of Biomedical Informatics, Division of Artificial Intelligence in Digital

Tenure faculty (regardless of rank) - persons with the titles of professor, associate professor, assistant professor and instructor who serve on appointments totaling 50% or more service to the university and who are eligible for tenure or who have obtained tenure. Duties and responsibilities are assigned in accordance with the workload guidelines laid out in the pattern of administration of each faculty member's tenure initiation unit (TIU) and, as appropriate, regional campus;

obligations will include research, service and/or teaching or clinical practice. These faculty will have earned doctorate or other terminal degree in the relevant field of study or possession of equivalent experience.

Artificial Intelligence in Digital Health (AIDH, (Use the "Apply for this Job" box below).) in the Department of Biomedical Informatics (BMI, ) at The Ohio State University (OSU) is currently seeking applicants for multiple open rank (Assistant/Associate/Full) tenure-track faculty in Artificial Intelligence (AI), starting as early as Fall 2026. Academic rank and track commensurate with academic record and experience.

Candidates with expertise and interests in predictive modeling, computer vision, natural language processing, generative AI, embodied AI, and/or multimodal learning are encouraged to apply. Successful applicants should have a Ph.D. in Computer Science, Artificial Intelligence, Data Science, Biomedical Informatics or a related discipline, with scientific collaboration and research interests in one or more of the following areas:

• Foundation Models and Generative AI, including designing, pre‑training, or fine‑tuning large‑scale Large Language Models (LLMs) and Vision‑Language Models (VLMs), Parameter‑Efficient Fine‑Tuning (PEFT), and alignment strategies (e.g., Reinforcement Learning from Human Feedback [RLHF]) for healthcare and life sciences.
• AI Agents and Autonomous Reasoning, including the development of autonomous agents capable of multi‑step clinical reasoning and planning, as well as systems that utilize Retrieval‑Augmented Generation (RAG) to transform unstructured biomedical text into computable, auditable evidence.
• Embodied AI and Ubiquitous Computing, including medical robotics, intelligent physical systems, autonomous control, and resource‑efficient edge AI models for continuous digital phenotyping on wearables and mobile devices.
• Multimodal Innovation, Trustworthy AI, and Clinical Translation, including scalable algorithms that integrate high‑throughput molecular data, medical imaging, and Electronic Health Records (EHRs), focusing on privacy‑preserving learning (e.g., federated learning), algorithmic security, widely adopted software tools, and integration into real‑world clinical workflows.

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.

Successful candidates will also join the AI(X) Hub () at Ohio State, established to drive innovation, provide resources, and foster the development of foundational and applied AI. The AI(X) Hub will be organized around several pillars: AI Foundations, Health, Engineering and Sciences, Agriculture, Trustworthy AI, and Cybersecurity. The Hubs Faculty Hiring Initiative will elevate Ohio States national reputation, specifically related to AI in addition to attracting top‑tier academic talent and securing external funding.

This advertised position will dovetail with similar positions in the soon‑to‑be‑standing‑up AI in Health Pillar of the AI(X) Hub. Successful candidates will have the opportunity to work closely with Health Pillar (primary) and AI Foundations Pillar (secondary). It is very likely…