The objective of this position is to conduct research in the diagnosis and management of ocular diseases using imaging technologies such as optical coherence tomography (OCT), OCT angiography, and photography. This requires maintaining current knowledge of the pertinent literature, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning artificial intelligence is emphasized. A significant percent effort will be placed on writing and preparing presentations and manuscripts.

Areas of research interest include clinical study design, control of image quality, image processing, image grading, control of data quality and completeness, missing data analysis, diagnostic accuracy analysis, longitudinal data analysis, survival analysis, regression analysis, disease progression analysis, and machine learning based on ophthalmic optical coherence tomography (OCT), OCT angiography, and photography.  Give presentations of research results.    

 

Preparation of manuscript for journal publications, papers and grant applications.

 

Teach image processing, image grading, and statistics to research and clinical trainees. 

MD or PhD. Research expertise in Ophthalmology, Visual Optics, Biomedical Engineering,  Computer Science, Applied Mathematics or related field. 

 

One year work experience, or equivalent in thesis research and other research projects.

 

Strong organizational and multitasking skills are critical.  The successful candidate must be able to work well independently and assume responsibility for specific phases of research projects. Strong written and verbal communication skills and the ability to work well with team members are essential. Strong problem solving skills and creative thinking are essential.  Familiarity with image processing, image grading, research design, statistics and the use of computers for research is highly desirable. Expert knowledge of statistical programming languages.  Knowledge of MATLAB programming environment needed.  Knowledge of neural network and other machine learning techniques helpful.  A working knowledge of common computer software including Excel, Word, and PowerPoint.  Ability to work independently; willingness to serve as a positive and professional role model.

Experience in image grading, image analysis, machine learning, clinical data analysis, and clinical study design is desirable.

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