We are looking for a full-time postdoctoral fellow 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. For examples of the types of imaging projects from our lab, please visit the Image Gallery and review the list of publications on the lab website https://nei.nih.gov/intramural/translational-imaging.
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. A recent PhD in a related discipline is required. 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, vision science/ophthalmology, optical imaging (e.g. SLO, OCT, AO), and/or human subjects research. 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. Applicants should be able to demonstrate why they are likely to be successfully working in a highly collaborative and diverse, multidisciplinary team consisting of optical and electrical engineers, clinicians, biologists, and other programmers.
Salary will be commensurate with education and experience. The position provides generous scientific resources, stipend support, and health benefits. U.S. citizens, U.S. permanent residents, and non-U.S. citizens are eligible to apply. Women and underrepresented minorities are particularly encouraged to apply.
To apply, submit by email to johnny@nih.gov 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.
The NIH is dedicated to building a diverse community in its training and employment programs. DHHS, NIH, and NEI are Equal Opportunity Employers.