Assistant Professor of Research, Department of Genome Sciences, Research Support
Listed on 2026-10-25
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Research/Development
Research Scientist, Data Scientist -
Healthcare
Data Scientist
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.
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