The Department of Genome Sciences at the University of Virginia is seeking a Research Support Assistant Professor in the laboratory of Dr. Ani Manichaikul. Dr. Manichaikul’s work focuses on genetic analysis leveraging high-throughput molecular ‘omics data sets for collaborative projects at the cutting edge of human genetics, genomics, and high-throughput molecular ‘omics research.
Duties & Responsibilities: The successful candidate will join a collegial and productive research team focused on the statistical and bioinformatic integration of whole genome sequencing with transcriptomic, proteomic and other data sets with the goal of identifying novel genes and pathways involved in determining risk of coronary artery disease, cardiomyopathy, heart failure and related traits in large multi-center human cohort and case-control studies. Analytical responsibilities will include analysis of whole genome sequence data, work with genome-wide association study summary statistics, bulk and single-cell transcriptomic data sets, and integrative systems genetics analysis of multi-omics data.
Position Summary: The Department of Genome Sciences at the University of Virginia is seeking a Research Support Assistant Professor in the laboratory of Dr. Ani Manichaikul. Dr. Manichaikul’s work focuses on genetic analysis leveraging high-throughput molecular ‘omics data sets for collaborative projects at the cutting edge of human genetics, genomics, and high-throughput molecular ‘omics research.
Duties & Responsibilities: The successful candidate will join a collegial and productive research team focused on the statistical and bioinformatic integration of whole genome sequencing with transcriptomic, proteomic and other data sets with the goal of identifying novel genes and pathways involved in determining risk of coronary artery disease, cardiomyopathy, heart failure and related traits in large multi-center human cohort and case-control studies. Analytical responsibilities will include analysis of whole genome sequence data, work with genome-wide association study summary statistics, bulk and single-cell transcriptomic data sets, and integrative systems genetics analysis of multi-omics data.
Ph.D. or equivalent degree in genetics, statistics, biology, or any quantitative science, including but not limited to Biostatistics, Bioinformatics, Computational Biology, or Data Science. Completion of at least 3 years of relevant experience research experience following completion of the Ph.D degree. Enthusiastic and ambitious individual with a strong interest in our research and laboratory environment. Interest in working with junior lab members and undergraduates. Preferred candidates will have experience working with GWAS of chronic diseases in older adults.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit dualcareer.virginia.edu
