The Department of Ophthalmology at the University of Virginia is seeking a Postdoctoral Research Associate to work in the Center for Advanced Vision Science whose Director, Dr. Ambati, was a recipient of the 2014 NIH Director's Pioneer Award: https://commonfund.nih.gov/pioneer/Recipients14 Representative Publications: https://www.science.org/doi/10.1126/sciimmunol.abi4493 https://www.science.org/doi/10.1126/sciadv.abj3658 https://www.pnas.org/content/118/6/e2022751118.long https://www.nature.com/articles/nm.4450 https://www.science.org/doi/10.1126/science.1261754 https://www.cell.com/cell/fulltext/S0092-8674(12)00467-9 https://www.nature.com/articles/nature09830 The candidate must be a strong communicator who works well in a team setting. Good command of written and spoken English is also essential. The ideal candidate will possess significant ophthalmology knowledge and ophthalmic microsurgical experience, or basic science knowledge using advanced techniques in one or more fields encompassing molecular biology or bioinformatics, biochemistry, genomics, protein isolation and characterization, Western, IP, 2-DIGE, ELISA, immunofluorescence, confocal microscopy, RNA isolation and characterization, qPCR, oligo-arrays, in vivo imaging, cell culture and transfection. The candidate will be involved in performing COVID-19-related ophthalmic research to alleviate the effects of the COVID-19 pandemic. For further information about the opportunity please visit http://bims.virginia.edu/faculty/jayakrishna-ambati/ Minimum Requirements: * PhD, MD, or equivalent degree(s) by start date. * One-to-three years of experience in clinical research or a basic science laboratory, with the ability of unsupervised planning, execution, data collection, and analyses. * Computer skills are necessary for data analysis and interpretation with expected proficiency in Windows, Office, AdobeSuite applications, SPSS or other statistical software, and ImageJ. This position is restricted and limited to a 12-month appointment. Postdoctoral Research Associates are individuals who have been awarded a Ph.D., MD, or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period. https://postdoc.virginia.edu/postdoc-resources/employment-and-benefits To Apply: Please apply through Careers at UVA , and search for R0045503. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Complete an application online with the following documents: * CV * Cover letter Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all the required documents will not receive full consideration. The University will perform background checks on all new hires prior to employment. For questions about the position or application process, please contact Yelena Markazyan at ym3mm @virginia.edu . For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ . The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.