Senior Scientist, Department of Neuroscience

Charlottesville, VA           ·           Full time

Senior Scientist, Department of Neuroscience

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Location: Charlottesville, VA

Time type: Full time

Job requisition id: R0051345

The Department of Neuroscience at the University of Virginia School of Medicine seeks a Senior Scientist focused on the computational analysis of large amounts of mass spectrometry data to join the lab of Dr. Sarah Flowers. The Flowers Lab (flowerslab.org) is focused on Alzheimer’s disease with an interest in APOE, the most significant genetic risk factor for sporadic AD. We utilize mass spectrometry to understand how carbohydrate modifications are altered in AD, and use induced pluripotent stem cells and clinical samples to harness this knowledge for the identification of AD before pathology as well as therapeutic targets to stop the progression to AD. The lab is NIH-funded and equipped with state-of-the-art instrumentation.

Our new lab member will join and contribute to a welcoming and supportive environment driven to carry out fundamental and translational research to improve AD patient outcomes. UVA is home to a strong and connected research community and the successful candidate will have support from the Flowers Lab, the Department of Neuroscience, the Center for Brain Immunology and Glia and a wide array of UVA programs for professional development. They will have the support and opportunity to expand their skills and become confident or more confident in the AD field.

Senior Scientists are expected to have sufficient experience and background to organize small research groups. Senior Scientists are expected to perform assigned tasks on their own initiative with minimal direction.

The successful candidate will have the following qualifications and experience.

• PhD in Chemistry, Biochemistry, Biophysics, Data Science or Life Sciences.
• Extensive experience with programming and proteomics software and management of MS data. Experience teaching, supporting, and mentoring students and scientists in the lab in data analysis. Previous experience in writing manuscripts and contributing to grant submissions.
• Experience with different types of fragmentation, glycomics or glycoproteomics, analysis of genomics data or modelling would be highly considered.
• The ability to work independently, collaborate with a range of scientists and work as part of a diverse and supportive group is essential.

This position is located in Charlottesville, VA.  This is a restricted position; continuation is dependent on funding and satisfactory performance.   The position will remain open until filled. The University will perform background checks on all new hires prior to employment.  A completed pre-employment health screen is required for this position. 

To Apply:

Please apply through Workday, and search for R0051345.  Complete an application online with the following documents:

• CV
• Cover letter/statement of interest
• Contact information for 3 references

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. Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs’.

For questions about the application process, please contact Jessica Russo, Recruiter, at sxv9zv@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.

Please click here to apply.