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

Position Overview

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, and 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, organized around several pillars: AI Foundations, Health, Engineering and Sciences, Agriculture, Trustworthy AI, and Cybersecurity. The Hub’s Faculty Hiring Initiative will elevate Ohio State’s reputation in AI and attract top‑tier academic talent. This advertised position will dovetail with similar positions in the 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). The research focus of the Health Pillar will include AI‑Driven Therapeutics Discovery; AI‑Enabled Precision Medicine; AI Implementation and Translation; AI Education in Health; and Scalable and 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 Vitae, a statement of research plans (limited to 3 pages), a statement of teaching and mentoring, and a list of three references. Any questions can 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.

Eligible Ohio State employees receive comprehensive benefits packages, including medical, dental and vision insurance, tuition assistance for employees and their dependents, and state or alternative retirement options with competitive employer contributions.

The Ohio State University is an equal opportunity employer, including veterans and disability.