The Center for Public Health Genomics at the University of Virginia is seeking to hire a Postdoctoral Research Associate to work on collaborative projects at the cutting edge of human genetics and genomics research under the supervision of Dr. Charles R. Farber.

Duties & Responsibilities: The successful candidate will join a collegial and productive research team focused on the genetic analysis of complex skeletal traits and osteoporosis. The candidate will lead our efforts to generate and analyze population-scale transcriptomics datasets on human bone and bone cells to inform genome-wide association studies for bone mass. The candidate will be expected to utilize a wide-range of analytical tools, including genome-wide association, expression Quantitative Trait Locus (eQTL) analysis, causal modeling, co-expression network analysis, Bayesian network analysis, among others. The is a highly interdisciplinary and collaborative project; thus, the candidate will be expected to work well both independently and in a team setting. The candidate will be responsible for writing manuscripts describing their work, advising graduate and undergraduate students and presenting at national and international conferences.

Position Qualifications: Necessary qualifications include a Ph.D. or related degree in Biostatistics, Genetics, Epidemiology, or a related field; knowledge of statistics and genetics; experience with statistical software (R, Splus or Matlab); a strong work ethic; the ability to work independently combined with willingness to work in a highly interactive and collegial group; and excellent written and oral communication skills. Desired qualifications include working knowledge of existing tools for genetic analysis and data management; C, C , and/or Perl programming skills; and experience working in a Unix / Linux environment.

Preference will be given to internal applications received by April 28, 2024. This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding. Salary is commensurate with education and experience.

This is an 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.

Physical Demands:

This position can spend extensive periods of time standing and squatting while conducting experiments or caring for animals. Also requires keyboarding and other bench work and animal procedures requiring finer finger manipulation.

To Apply:

Please apply through your UVA Workday profile and search for R0060160.

Complete an application online with the following documents:

* CV

* Cover letter

* 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. 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, 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.