Research Professor, Genome Sciences – Multi-Omics & GWAS

The University of Virginia; Charlottesville (VA); Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

The University of Virginia's Genome Sciences Lab invites applications for a Research Support Assistant Professor in the lab of Dr. Ani Manichaikul.

The role centers on statistical and bioinformatic integration of whole genome sequencing with transcriptomic and proteomic data to reveal genes and pathways linked to cardiovascular disease risk. The successful candidate will analyze diverse omics datasets, work with GWAS statistics, and contribute to a collaborative, multi-center research program

Qualifications

• Ph.D. or equivalent in genetics, statistics, biology, or any quantitative science.
• Completion of at least 3 years of relevant research experience after Ph.D.
• Interest in mentoring junior lab members and undergraduates.
• Preferred candidates will have experience with GWAS of chronic diseases in older adults.

Responsabilités

• Analyze whole genome sequencing data and GWAS summary statistics.
• Integrate transcriptomic, proteomic and other multi-omics data to identify genes and pathways.
• Collaborate with a research team on risk factors for coronary artery disease, cardiomyopathy and related traits.

Connaissances

Genetics

Statistics

Bioinformatics

Computational Biology

Multi-omics integration

GWAS analysis

Transcriptomics

Proteomics

Formation

Ph.D. or equivalent in genetics/statistics/biology/quantitative science

Description du poste

The University of Virginia's Genome Sciences Lab invites applications for a Research Support Assistant Professor in the lab of Dr. Ani Manichaikul.

The role centers on statistical and bioinformatic integration of whole genome sequencing with transcriptomic and proteomic data to reveal genes and pathways linked to cardiovascular disease risk. The successful candidate will analyze diverse omics datasets, work with GWAS statistics, and contribute to a collaborative, multi-center research program