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

Faculty – Department of Biomedical Informatics, Division of Artificial Intelligence in Digital Health, Artificial Intelligence (Open Rank Tenure‑Track)

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Open Rank Tenure‑Track faculty (Assistant/Associate/Full) in Artificial Intelligence (AI) are sought, starting as early as Fall 2026. Academic rank and track will be commensurate with the applicant’s 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 hold 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) for healthcare and life sciences.
• AI Agents and Autonomous Reasoning, including the development of autonomous agents capable of multi‑step clinical reasoning and planning, and Retrieval‑Augmented Generation (RAG) systems 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, design studies for clinical trials, large‑cohort and population research, basic science, and high‑throughput omics at both The Ohio State University and Nationwide Children’s Hospital. Participants will have opportunities to develop methodologies, contribute to the academic mission through teaching in graduate programs, mentoring M.S. and Ph.D. students, and supervising research trainees.

Candidates will also join the AI(X) Hub at Ohio State, which will be organized around the pillars of AI Foundations, Health, Engineering and Sciences, Agriculture, Trustworthy AI, and Cybersecurity. The AI(X) Hub faculty hiring initiative seeks to elevate Ohio State’s national reputation in AI and secure external funding. The advertised position will dovetail with similar positions in the upcoming AI in Health Pillar of the AI(X) Hub.

The research focus of the Health Pillar will likely include AI‑Driven Therapeutics Discovery, AI‑Enabled Precision Medicine, AI Implementation and Translation, AI Education in Health, and scalable, robust AI infrastructure for health.

Applicants should have a Ph.D. in Computer Science, Artificial Intelligence, Data Science, Biomedical Informatics, or a related discipline. Preference will be given to candidates who demonstrate methodological innovation in AI rather than routine application of existing tools.

To be considered, please submit your application electronically via Workday. Application materials must include a cover letter, a Curriculum Vita, a statement of research plans (limited to 3 pages), a statement of teaching and mentoring, and a list of three references. Questions may be directed to the chair of the search committee, Dr. Qing Wu (Qing.

Wu). Evaluation of applications is underway and will continue until positions are filled.

Final candidates are subject to successful completion of a background check. Additionally, a drug screen or physical may be required during the post‑offer process.

The university is an equal opportunity employer, including veterans and disability.