The Department of Ophthalmology, at the University of Virginia School of Medicine, seeks Research Scientists to work in the Center for Advanced Vision Science.
Dynamic and talented individuals are sought to join a vibrant group that has made pioneering contributions to ocular biology and innate immunity.
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
Research Scientists are expected to:
Perform assigned tasks independently. In addition to a firm background in the particular field, Research Scientists should demonstrate the ability to lead small groups and work without additional supervision once objectives are defined and methods of approach are set.
For further information about the opportunity please visit: http://bims.virginia.edu/faculty/jayakrishna-ambati/.
For further information regarding this position please contact Royanne Koogler via email at RLB8Y@hscmail.mcc.virginia.edu.
Minimum Requirements:
Requires a doctoral degree or master's degree with significant experience.
Preferred Qualifications:
One-to-three years of experience in a basic science laboratory, with the ability of unsupervised planning, execution, data collection, and analyses.
Strong communicator who works well in a team setting.
Excellent written and verbal communication skills.
Basic science knowledge using advanced techniques in one or more fields encompassing molecular biology, immunology, bioinformatics, 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.
Computer skills for data analysis and interpretation
Proficiency in Windows, Office, AdobeSuite applications, SPSS or other statistical software, and ImageJ.
This position is a restricted position and is dependent upon project need, availability of funding and performance. This is benefited position. For more information on benefits please visit: https://postdoc.virginia.edu/postdoc-resources/employment-and-benefits
Physical Demands:
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
To Apply:
Please apply through Workday, and search for R0045912. 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 required documents will not receive full consideration.
The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.
For questions about the application process, please contact Yelena Markazyan, Academic Recruiter 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, including 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 (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.