Associate Professor of Translational Data Science & Artificial Intelligence

The Division of Informatics Clinical Epidemiology and Translational Data Science (DICE) one of 11 divisions in the OHSU Department of Medicine is a national leader in biomedical informatics research and education. Faculty benefit from OHSUs highly collaborative environment including access to a number of teams and resources related to innovation with and translation of AI as well as the Advanced Computing Center. OHSU values a diverse and culturally competent workforce and is proud to be an equal opportunity affirmative action organization.

**Open to various rank levels (Assistant Associate or Professor) dependent on experience**

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 ofArtificial 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 OHSUs extensive electronic health record (EHR) data imaging repositories and genomic datasets.

Key Responsibilities

Research & Scholarship (70%):

• Establish and maintain an independently funded research program focused ontranslational AI(e.g. predictive clinical modeling precision oncology ambient intelligence or bias mitigation in healthcare algorithms).
• Collaborate with clinical partners in theKnight Cancer InstituteOregon 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.

Education & Mentoring (20%):

• Teach graduate-level courses in theBiomedical 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.

Service & Leadership (10%):

• Participate in departmental committees and OHSU-wide governance regardingethical AI usageand data science infrastructure.
• Contribute to grant review panels and professional societies.

• 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

• 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