The objective of this position is to develop advanced imaging processing tools (including deep learning-based approaches) which help clinical scientists conduct research in the diagnosis and management of retinal diseases using advanced imaging technologies such as optical coherence tomography (OCT) and OCT angiography (OCTA). This requires maintaining current knowledge of the pertinent literature, signal/image processing development to illuminate specific research questions. A significant percent effort will be placed on developing novel data processing toolkits, validating developed image processing software with clinical fellows, preparing patent disclosure, writing and preparing presentations and manuscripts. Additionally, a portion of the effort will be dedicated to training junior data scientist, providing deep learning and digital processing expertise to guide junior fellow, and taking a leading role in communication on OCT and OCTA grading projects.

 

Pay Range: $99,340.80 - $151,476 annually (Commensurate with qualifications, experience and internal equity)

• Work alongside experts in various scientific, clinical and engineering disciplines to develop computational algorithms for analysis of OCT and OCT angiography data and provides validation and interpretations. Contribute to the development of new concepts, techniques and standards. 

• Collect results for patent application, grant application /paper publication. Contributes to the development of research documentation for publication and/or prepares technique reports, papers, and grant applications. 

• Teach data mining, processing and image grading to research and clinical trainees.

• PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Optics, or related field of research AND
• 3 years of relevant experience OR
• Master's Degree in relevant field AND
• 5 years of relevant experience OR
• Bachelor's Degree in relevant field AND
• 7 years of relevant experience.
• Experience in one or more of the following areas: OCT and OCT angiography, signal/image processing, modeling algorithms, artificial intelligence and machine learning, C++/Matlab/Python programming for data analysis.

Job Related Knowledge, Skills and Abilities (Competencies):

• 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.
• Demonstrated innovation, initiative, strong problem solving skills and creative thinking are imperative.
• Familiarity with image processing, image grading, research design, statistics and computational 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 is helpful.
• Must be able to perform the essential functions of the position with or without accommodation
  

• Experience with image processing algorithms and machine learning or deep learning are desirable

Must be able to travel between clinic locations using stairs, elevators and tram. OHSU encourages use of public transportation for commuting to and from work due to limited staff parking.

Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.