Associate Professor of Translational Data Science & Artificial Intelligence

Oregon Health & Science University • Portland, OR

22h

About The Position

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection of Artificial Intelligence (AI), machine learning (ML), and translational science . The successful candidate will develop computational methods to bridge the gap between complex biomedical data and clinical bedside application, leveraging OHSU’s extensive electronic health record (EHR) data, imaging repositories, and genomic datasets.

Requirements

• PhD, MD/PhD, or equivalent in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related field.
• Demonstrated expertise in applying machine learning/deep learning to biomedical problems (e.g., NLP or EHR, computer vision for pathology/radiology, or multi-omics integration).
• Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI)
• Proficiency in Python, R, SQL, and experience with high-performance computing environments

Nice To Haves

• Experience with implementation science or deploying algorithmic tools into clinical workflows
• Previous success securing K-awards or R-level grant funding
• Familiarity with federated learning or privacy-preserving computation

Responsibilities

• Establish and maintain an independently funded research program focused on translational AI (e.g., predictive clinical modeling, precision oncology, ambient intelligence, or bias mitigation in healthcare algorithms).
• Collaborate with clinical partners in the Knight Cancer Institute , Oregon Clinical and Translational Research Institute (OCTRI) , the Center for AI-Enabled Learning Health Science (CAILS) and others to validate and implement AI tools in real-world settings.
• Publish high-impact findings in peer-reviewed journals and present at national/international conferences.
• Teach graduate-level courses in the Biomedical Informatics Graduate Program (e.g., Applied Machine Learning, Health Data Analytics).
• Mentor MS/PhD students, postdoctoral fellows, and clinical informatics fellows, fostering their development as independent scientists.
• Participate in departmental committees and OHSU-wide governance regarding ethical AI usage and data science infrastructure.
• Contribute to grant review panels and professional societies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees