Posting Summary: The Miller Laboratory at the University of Virginia Center for Public Health Genomics (millerlab.org) seeks an enthusiastic and highly motivated postdoctoral research associate with a background in a quantitative field to investigate the genetic basis of coronary artery disease and related complex diseases. Available projects include the integration of large-scale human genome-wide association and multi-omics datasets (e.g. bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq) from normal and diseased environments. The primary goals of this work are to map causal regulatory networks, gene-environment interactions, and cell-specific mechanisms associated with cardiovascular diseases, ultimately to inform new treatment and prevention strategies. There will also be opportunities to discover and prioritize clinically relevant mutations identified from WGS and WES of large-scale, well-characterized cohorts and leverage longitudinal multi-omics datasets to classify patients and disease subtypes.
The candidate will have access to a broad range of population genetic and genomic datasets, computational resources, and will be exposed to a stimulating and multi-disciplinary environment in the Center for Public Health Genomics (CPHG) led by Dr. Stephen Rich. This work will involve close collaborations with members of the CPHG and the newly formed Data Science Institute led by Dr. Philip Bourne. The candidate will also benefit from strong collaborations with faculty members of the Robert M. Berne Cardiovascular Research Center and with the Departments of Biomedical Engineering and Biochemistry and Molecular Genetics.
Candidates must have a PhD in a quantitative field (e.g. bioinformatics, statistics, engineering, physics, computer science, genetics, or related field) required in hand by appointment start date. Experience in either statistical or computational data analysis is preferred, including proficiency in R, python (or other scripting languages). Experience in machine learning or deep learning is preferred but not required. The successful candidate will also have a strong working knowledge of biomedical fields such as human genetics, molecular/cell biology, physiology etc. Excellent written and verbal communication skills are required, as is the ability to work in a cross-functional team.
To apply, visit https://jobs.virginia.edu and search on Posting Number 0623899. Complete a Candidate Profile online; attach a current CV, cover letter, statement of research interests, and contact information for three references. The position will remain open until filled.
For additional information about the position, please contact Dr. Clint L. Miller (firstname.lastname@example.org).
The University of Virginia is an equal opportunity/affirmative action employer. Women, minorities, veterans, and persons with disabilities are strongly encouraged to apply.
Internal Number: 353_85322
About University of Virginia
Founded by Thomas Jefferson, the University of Virginia opened in 1825 as the nation's first public university. A longstanding dedication to preeminence in both scholarship and teaching; top ranking in global satisfaction, collegiality and work/family issues on the COACHE survey of early career faculty; a commitment to excellence that is integrally connected with diversity and a broad array of benefits make the University of Virginia a prime choice for both faculty and staff. The University of Virginia is located in the small cosmopolitan city of Charlottesville near the Blue Ridge Mountains, 70 miles from Richmond and 110 miles from Washington, D.C. The University of Virginia remains the No. 2 best public university in the 2013 edition of the U.S. News and World Report rankings. In the 14 years since U.S. News began ranking public universities as a separate category, U.Va. has ranked either No. 1 or No. 2. U.Va. continues to rank in the Top 25 among the best of all national universities, public and private.