AI Scientist - Adaptive Optics Ophthalmic Imaging

Wednesday 22nd September 2021

Organization National Eye Institute, National Institutes of Health

Location Bethesda, Maryland Title AI Scientist - Adaptive Optics Ophthalmic Imaging


Email Address

Description A full-time staff position is available in the Clinical and Translational Imaging Unit, located within the Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health (NIH) in Bethesda, Maryland, USA, to study the cellular manifestation of retinal diseases. The lab has developed multimodal imaging tools for imaging neurons, cells, and capillaries in patients’ eyes using state-of-the-art, custom-built adaptive optics imaging instruments.

We are looking for someone who is deeply knowledgeable about working with challenging AI/deep learning projects in the medical imaging field, and is interested in applying their skillset to clinical applications in the NEI Eye Clinic. Prior experience developing novel image analysis algorithms to quantify metrics of interest from medical imaging data is required. Familiarity with one or more of the following will be viewed favorable: medical image analysis, artificial intelligence-based methods, optical imaging, human subjects research, and/or working with custom optical instrumentation. Top applicants will have strong scientific programming skills with expertise in C, C++, Python, Matlab, and other languages, Experience using Git repositories and/or other version control applications will be viewed favorably.

Successful candidates will work in a highly collaborative and diverse, multidisciplinary team consisting of optical and electrical engineers, clinicians, biologists, and other programmers.

To apply, submit by email the following items: (1) a full CV that includes the names and dates of all current and previous research mentors/supervisors and the candidate’s past research projects, (2) contact information for 3 references, (3) a list of what scientific problems you would be interested in working on, and (4) a brief description of a couple of the most challenging projects that you have had to work on in your scientific career to date and what your specific role was in seeing those projects through to completion. Informal inquiries are welcomed.