A position is available for a Post-baccalaureate Research Assistant/Data Analyst to assist in research within the Unit of Retinal Neurophysiology in the National Eye Institute (NEI), National Institutes of Health (NIH) in Bethesda, Maryland. This research focuses on visual behavior, anatomy, and electrophysiology in animal models of neurofibromatosis, optic pathway gliomas (tumors), and inherited retinal degenerations. Duties will include a subset or all any of the following, according to the experience and aptitude of the candidate:
- Conduct behavioral experiments estimating the visual acuity (VA) and contrast sensitivity (CS) of various cohorts of mice. Methods involve using a semi-automated video projection and recording system to monitor eye, head, and body movements of mice in response to rotating black and white stripes (optokinetic [OKR] and optomotor [OMR] responses).
- Obtain images from anesthetized mice, using two instruments/methods: optical coherence tomography (OCT) and fundus (retina and optic nerve) photography.
- Aid in preparing for and/or conducting in vitro multielectrode recordings of retinal ganglion cells (RGCs) in mouse retinas.
- Process, review, and analyze data via specialized software (user-written), Matlab, R, JMP or other statistical software.
- Create figures, tables, & other data summaries resulting from the above analyses, for inclusion in presentations, publication, etc.
The ideal candidate will have:
- Bachelor or Master’s Degree in neurobiology, vision science, biomedical engineering, and/or technical computer programming is desirable.
- Basic familiarity with neurobiology, with retinal, optic nerve, and with central visual system structure & function is desirable.
- Similar familiarity with behavioral testing, operation of photographic, microscope, or other imaging instruments, and/or electrophysiologic recording techniques is an additional advantage.
- Basic computer, data analysis & presentation skills are required; specific experience with neurophysiologic data, Matlab, & statistical analysis are desirable.
The position is available to begin any time after October 10, 2016 and for a period of 1-2 years (to be negotiated with candidate).
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