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 and 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.

• This 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.

Minimum Requirements:

Ph.D. or related degree in Biostatistics, Genetics, Epidemiology, or a related field

Preferred Qualifications:

• Knowledge of statistics and genetics

• Experience with statistical software (R, Splus or Matlab)

• Strong work ethic

• Ability to work independently combined with willingness to work in a highly interactive and collegial group

• Excellent written and oral communication skills.

• Working knowledge of existing tools for genetic analysis and data management; C, C++, and/or Perl programming skills

• Experience working in a Unix / Linux environment.

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 till 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.

To Apply:

Please apply through Workday , and search for R0047042. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. 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@virgini.edu

For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/ .

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, i ncluding 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.