The Center for Public Health Genomics at the University of Virginia is seeking to fill a Postdoctoral Research Associate position focused on 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 under the supervision of Dr. Ani Manichaikul.

Duties & Responsibilities:

The successful candidate will join a collegial and productive research team focused on the statistical integration of whole genome sequencing with transcriptomic and proteomic data sets. The goal of these projects will be to identify novel genes and pathways involved in determining risk of chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis and related traits in large multi-center human cohort and case-control studies. 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.

Minimum Requirements:

Ph.D. or related degree in Biostatistics, Bioinformatics, Genetics, Epidemiology, or a related field (in hand by start date);

Preferred Qualifications:

Knowledge of statistics and genetics; experience with statistical software (R or Python); a strong work ethic; the ability to work independently combined with interest in developing new skill sets through postdoctoral training; 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; C, C++ programming skills; and 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 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 Careers at UVA , and search for R0060493.

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@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, 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.