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Immunology and Molecular Biology

University of Virginia School of Medicine, University of Virginia Cancer Center, Charlottesville, Virginia

Position Description:

An immediate NIH funded postdoctoral Research Associate position is available in the Laboratory of Dr. Bhatnagar for a project focusing on triple-negative breast cancer and tumor micro-immune environment. My laboratory has a broad interest in the identification of targetable epigenetic readers, writers, and erasers for which we use large-scale and focused loss-of-function shRNA and CRISPR/Cas9 genetic screens. We routinely use small molecule inhibitors, RNAi, immunotherapies, and nanoparticles to generate effective cancer therapies. This particular position is for 1 year with the possibility to extend for an additional year based on productivity. For additional information about the project, contact directly Dr. Bhatnagar (sb5fk@virginia.edu). 

Qualifications:

To support our current ongoing activities, we are looking for a postdoctoral scientist with experience in immunology and molecular biology. From the model system perspective, we will prefer a candidate with a strong background in cancer cells and murine models. In addition, experience with immune cells, high throughput sequencing (RNA-seq, ChIP-seq), animal handing and tumor xenografts are highly desirable. 
UVA offers an exciting working environment, the possibility to interact with interdisciplinary research groups, and competitive salary and benefits. 
 
KEY RESPONSIBILITIES: 
1) Participate in planning, designing, and executing technical and complex research projects, as assigned under the direction of a supervisor 
2) Background in molecular biology, biochemical assays, protein handling 
3) Growth and maintenance of mammalian cell cultures 
4) Contribute to grant application and publications 
5) Proven ability to work in a collaborative research team 
REQUIREMENTS/MINIMUM QUALIFICATIONS: 
1) MD and/or PhD in molecular biology, immunology, cell biology, or relevant scientific discipline by appointment start date 
2) Experience in Cancer cell biology and general cell signaling 
3) Excellent communication skills 
PREFERRED QUALIFICATIONS 
Experience with Flow Cytometry, cloning, protein purification, and animal handling is highly desirable. 
The selected applicant will be required to complete a background check and health screening prior to their first day of employment per University policy.
 
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:

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0021449".   Complete an application online and see below for documents to attach.

PROCESS FOR EXTERNAL APPLICANTS: Please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, “R0021449” complete the application and see below for documents to attach.  Please note that multiple documents can be uploaded in the box or you can combine them into one PDF.

Complete an application online and attach:
  • CV/Resume
  • Cover Letter
  • Contact information for 3 references
***Please note that you MUST upload ALL documents into the CV/Resume box.
Applications that do not contain all of the required documents will not receive full consideration.***
For questions about the application process please contact Rhiannon O'Coin, Senior Academic Recruiter, rmo2r@virginia.edu
 
 
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.