Virginia Mountain View

Lab Specialist, Dermatology

  • R0066599
  • Charlottesville, Virginia, United States, 22904
  • Research
  • University of Virginia
The Department of Dermatolog y at the University of Virginia (UVA) School of Medicine invites applications for a Lab Specialist position in the laboratory of Dr. Lu Le , Professor and Chair of the Department of Dermatology.

The Le lab investigates how genetic and microenvironmental factors interplay to regulate tumorigenesis. Our research focuses on identification of the cell of origin and elucidating the role of tumor microenvironment in cancer development. We dissect the cellular and molecular mechanisms of carcinogenesis from a developmental perspective using Neurofibromatosis Type 1 (NF1), a common tumor predisposition human genetic disorder, as a model. While working on neurofibromatosis, our research group serendipitously uncovered the identity of follicular epithelial cells that directly give rise to hair and mechanisms that cause hair to turn gray - findings that led to our second focus to identify possible treatments for balding and hair graying associated with aging. The laboratory offers a rich experimental environment that encompasses both basic and translational research

For an overview of our recent publications, please visit: https://med.virginia.edu/le-lab/publications .

The successful candidate will be expected to:
  • Conduct complex laboratory research and play a crucial role in advancing innovative research projects.
  • Demonstrate flexibility and a robust work ethic essential for our dynamic research environment.
  • Make significant contributions to ongoing research efforts, showcasing the ability to drive projects forward.
  • Possess effective communication skills, necessary for articulating research findings and collaborating within a diverse team.
  • Thrive in a dynamic laboratory setting that encompasses a broad spectrum of basic to translational research endeavors.


Minimum Qualifications:
  • Education: Bachelor's degree
  • Experience: At least three years of experience, which may include experience gained while a student.


This position is a restricted position and is dependent upon project need, availability of funding and performance. This is a Non - Exempt level, benefited position. For more information on the benefits at UVA, visit hr.virginia.edu/benefits .

This 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 prior to employment.

References will be completed via UVA’s standardized process Skill Survey. A total of five references will be requested via SkillSurvey during the final phase of the interview process.

Physical Demands:

This position is located in Charlottesville, VA

To Apply:

Please apply through Careers at UVA , and search for R0066599 .

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.

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 is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA’s commitment to non-discrimination and equal opportunity employment.

 

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer

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