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- Assistant/Associate Professor of Translational Data Science & Artificial Intelligence
Description
The full-time annual base salary range for this position is $165,796-$202,206; commensurate with experience and rank. Base pay does not include incentive pay, hiring bonuses, or additional benefits such as retirement contributions.
Oregon Health & Science University, a leader in academic medicine and research, in the heart of Portland, Oregon invites applications for a full-time faculty position as an Assistant/Associate Professor of Translational Data Science & Artificial Intelligence (rank to be determined) to join our team dedicated to advancing innovation in AI.
In this role, you’ll find:
- Research & Scholarship: 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.
- Academic Environment: 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.
Why join us?
- Become part of a collaborative, inclusive, and innovative academic community recognized for its national impact
- Enjoy a dynamic academic environment with meaningful opportunities for growth and advancement
- Live in the Pacific Northwest, offering unmatched access to cultural, recreational, and outdoor opportunities in one of the most desirable regions in the country
- Receive a competitive salary and comprehensive benefits package, including generous PTO plan; medical, dental, and vision coverage; multiple retirement plan options, research support and protected academic time
About OHSU
OHSU's singular focus on improving health starts with Oregonians and has global impact. We are the only academic health center in Oregon, but we're also nationally distinct as a university dedicated solely to advancing health sciences. This allows us to concentrate resources on research to prevent and cure disease, on education that prepares physicians, dentists, nurses and other health professionals to succeed in an evolving health care environment, and on patient care that incorporates the latest knowledge and discoveries. We have over 20,000 employees and secure competitive research funding of more than $400 million a year. As a public organization, we provide community outreach and services for Oregon's most vulnerable populations. OHSU’s stated mission is to improve the health and quality of life for all Oregonians through excellence, innovation and leadership in health care, education and research.
Requirements
Required Qualifications
- 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 funding (e.g., NIH, NSF, PCORI)
- Proficiency in Python, R, SQL, and experience with high-performance computing environments
Preferred Qualifications
- 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

