The Center for Public Health Genomics at the University of Virginia is seeking a Research Scientist to perform statistical analysis of high-throughput molecular ‘omics data sets for collaborative projects at the cutting edge of human genetics, genomics, and high-throughput molecular ‘omics research

The successful candidate will join a collegial and productive research team focused on the statistical analysis of human genetic studies, analysis of high-throughput molecular ‘omics data, and integration of genomic and molecular ‘omics data to identify disease-related molecular targets.  Analytical responsibilities will include analysis of bulk and single-cell transcriptomic data sets, genetic association analysis of common and rare disease variants and integrative systems genetics analysis of multi-omics data. Collaborative efforts will include an emphasis on post-GWAS studies including whole genome sequence analysis, targeted analysis of candidate genes, and integrative analysis of genomic and transcriptomic data in studies of cardiovascular disease, atherosclerosis, diabetes and pulmonary diseases.

The Research Scientist position requires a doctoral degree in Biostatistics, Computational Biology, Genetics, Epidemiology, or a related field; knowledge of statistics and genetics; experience with statistical software (R or Python); 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 experience working with large-scale multi-center studies; working knowledge of existing tools for genetic analysis and data management; Unix shell scripting and experience working in a Unix / Linux environment. Research Scientists are expected to perform assigned tasks independently. In addition to a firm background in the particular field, Research Scientists should demonstrate the ability to lead small groups and work without additional supervision once objectives are defined and methods of approach are set.

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:

Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. 

Please apply through Workday , and search for R0052167.

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/ .

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits and https://postdoc.virginia.edu/postdoc-resources/employment-and-benefits

MINIMUM REQUIREMENTS
Education: Ph.D. or terminal degree. ABD may be accepted.
Experience: None
Licensure: None
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.

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.