Genomics Postdoc: Multi-Omic Cardiometabolic & Dementia

University of North Carolina - Chapel Hill; Elkins Hills (NC); Presencial; USD 63 000 - 69 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and vision coverage

Paid leave

Resumo da oferta

The Raffield lab in the University of North Carolina at Chapel Hill (UNC) Department of Genetics is seeking a Postdoctoral Research Associate with a background in Human Genetics, Epidemiology, Biostatistics, or a related field to join large-scale genomic and multi-omic analyses of cardiometabolic disease and Alzheimer's disease across populations.

Our lab specializes in GWAS and transcriptomic, proteomic, and metabolomic data analyses, with collaboration across institutions in the US and beyond.

Qualificações

• PhD in Genetics, Epidemiology, Biostatistics/Statistics, Computational Biology, Bioinformatics, or a related field.
• Strong scientific communication skills and enthusiasm for team science.
• Experience analyzing large genomic datasets and/or epidemiological analyses preferred.

Responsabilidades

• Lead cross-cohort 'omics analyses within TOPMed and related projects.
• Analyze bulk and single-cell expression QTLs and metabolomics/proteomics data.
• Investigate biomarkers for cardiometabolic disease and Alzheimer's disease across populations.
• Contribute to multicenter collaborations and grant-friendly research planning.

Conhecimentos

Scientific communication

Formação académica

PhD in Genetics, Epidemiology, Biostatistics/Statistics, Computational Biology, Bioinformatics, or related field

Descrição da oferta de emprego

The Raffield lab in the University of North Carolina at Chapel Hill (UNC) Department of Genetics is seeking a Postdoctoral Research Associate with a background in Human Genetics, Epidemiology, Biostatistics, or a related field to join large-scale genomic and multi-omic analyses of cardiometabolic disease and Alzheimer's disease across populations.

Our lab specializes in GWAS and transcriptomic, proteomic, and metabolomic data analyses, with collaboration across institutions in the US and beyond.