Associate Professor of Translational Data Science & Artificial Intelligence at Oregon Health & Science University
Portland, Oregon, United States -
Full Time


Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Artificial Intelligence, Machine Learning, Deep Learning, Translational Science, Biomedical Informatics, Python, R, SQL, Predictive Clinical Modeling, Precision Oncology, Ambient Intelligence, Implementation Science, High-performance Computing, Data Science, Statistics, Grant Writing

Industry

Higher Education

Description
Department Overview 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 OHSU's 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. Function/Duties of 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. Key Responsibilities Research & Scholarship (70%): 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. Education & Mentoring (20%): 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. Service & Leadership (10%): Participate in departmental committees and OHSU-wide governance regarding ethical AI usage and data science infrastructure. Contribute to grant review panels and professional societies. 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 fudning (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 Why apply to OHSU? We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.edu
Responsibilities
The successful candidate will lead an independent research program focused on translational AI and machine learning to bridge the gap between biomedical data and clinical application. Additionally, they will teach graduate-level courses and mentor students and fellows within the Biomedical Informatics Graduate Program.
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