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Associate Professor or Professor of Cancer Nanomedicine

Employer
University of Virginia Comprehensive Cancer Center
Location
Charlottesville, Virginia
Salary
Available upon request, including benefits.
Closing date
Apr 11, 2023

View more

Discipline
Life Sciences, Cancer Research
Position Type
Full Time
Job Type
Faculty
Organization Type
Academia

The University of Virginia Cancer Center (UVACC) seeks a distinguished nanomedicine translational researcher (tenured or tenure-eligible Research Faculty at the Associate Professor or Professor level) to join the leadership of the Cancer Center and oversee the nanomedicine efforts of the Cancer Center and direct the nanoSTAR Institute. We are seeking candidates with a PhD and/or MD. We seek to recruit faculty from diverse backgrounds and faculty who value diversity. 

Candidates are expected to have a nationally-recognized, outstanding, highly collaborative, and extramurally-funded research program commensurate with their career stage focused on the design, characterization, and 
validation of nanotechnologies for targeted drug delivery. The successful candidate will be responsible for facilitating collaborations within Departments and Centers in the UVA SOM and between groups across UVA (School of Data Science, School of Engineering and Applied Science). It is expected that the person will serve as an interface between the nano-engineering and cancer therapeutics efforts, as well as supporting the educational mission of the UVACCC. Support will include an attractive startup package, laboratory space, and resources to expand the nanomedicine capabilities of the Cancer Center. 
 
The University of Virginia Cancer Center (UVACC) is a matrix cancer center that brings together over 175 Members from 27 Departments in the Schools of Medicine, Nursing, Engineering, Education and Human Development, Data Science, and in the College of Arts and Sciences. Through faculty recruitment and robust infrastructure development, the UVACC has continued to build on its exceptional basic science foundations, greatly enhanced its ability to accelerate clinical and translational cancer focused research and built a robust population science program. The UVACC has four Programs: Cancer Biology (CBIO), Molecular Genetics and Epigenetics (GEN), Cancer Therapeutics (CRX), and Cancer Prevention and Population Health (CPH). The mission of the UVACC is to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion. Because it is a matrix cancer center that is fully integrated within a leading public university, the UVACC has a special opportunity and responsibility to bring a diverse universe of new knowledge and technology into cancer research and care for the people in its catchment area. 

The nanoSTAR Institute is a cross-Grounds effort that strives to provide a collaborative platform for nanoscale research and commercialization of products, to provide excellence in teaching and to provide outreach that promotes science, education and collaboration. The mission of the nanoSTAR institute is to make UVA the premier destination for students to pursue education in nano science and medicine and for people and 
organizations seeking nanoscale technologies to gain access to intellectual and material resources in order to advance science and technology. nanoSTAR faculty and trainees collaborate with businesses and other universities to leverage resources and expertise. These partnerships enable the acceleration of research discoveries through technology transfer and commercialization.

Requirements

Education: PhD or MD

Experience: Three years

 

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.

 

Application Instructions

Please apply through Workday, and search for R0044558. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'.   Complete an application online with the following documents:

  • A CV/Resume

  • A 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.

 

Applicant review will begin February 2023. The positions remain open to candidates until filled. For questions about the application process, please contact Margaret Weeks (mew7ys@virginia.edu). The University will perform background checks on all new hires prior to employment.

 

The University of Virginia is annually ranked as one of the premier public institutions in the United States and is located in Charlottesville, a picturesque and vibrant small city perennially ranked as one of the best places to live in the U.S. More information about the town, the school, faculty benefits, and other topics can be found at https://hr.virginia.edu/careers-uva/why-uva.


COVID Vaccination Requirement and Guidelines

Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.

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.

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