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University of Virginia – Postdoctoral Research Associate
Company NameUniversity of Virginia
Position TitlePostdoctoral Research Associate
Company Information
The University of Virginia is a proudly public institution, consistently ranked among the best universities in the United States for excellence and value. UVA serves the Commonwealth of Virginia, the nation and the world by advancing knowledge and preparing students to be citizen leaders who are guided by empathy, integrity and truth.
Duties and Responsibilities
The Department of Genome Sciences at the University of Virginia School of Medicine seeks a Postdoctoral Research Associate. The Postdoctoral Research Associate will work in the lab of Dr. Ani Manichaikul. 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.
Position Qualifications
Minimum Qualifications
Education: Doctoral degree in Biostatistics, Bioinformatics, Genetics, Epidemiology, Computational Biology, or a related field
Preferred Qualifications
Enthusiastic and ambitious individual with a strong interest in our research and laboratory environment
Willingness to learn new computational approaches and design projects independently
Eagerness to apply for postdoctoral grants and to take advantage of other career development opportunities
Interest in working with junior lab members
Strong verbal and written communication skills
Knowledge of statistics and genetics; experience with statistical software (R or Python)
Additional 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.
Salary RangeSalary will be commensurate with education and experience.
Benefits
Benefits are comprehensive and include health care, vision, dental, retirement, disability, dependent care resources and more. For more information see https://hr.virginia.edu/benefits
Position or Company Websitevirginia.edu
Application Instructions
Visit the position website and follow the instructions provided therein.