Job date: 2015-09-21
End Date:
Company : Texas Biomedical Research Institute Country : Role : Faculty
SCIENTIST Department of Genetics invites applications for a faculty position (open rank) in bioinformatics or statistical genomics with a research focus on the development and implementation of novel analytical approaches to integrate large-scale omics datasets. Efforts should focus on the functional impact of disease-associated causal sequence variants, with special emphasis on the integration and annotation of genomic, proteomic, and metabolomic data. The new faculty member is expected to interact with and complement current research programs in cardiovascular disease, metabolic disorders (diabetes, obesity, fatty liver disease), infectious disease, and parasite genetics.
The Department of Genetics at the Texas Biomedical Research Institute, a private non-profit research institute in San Antonio, TX, is focusing on understanding genetic regulation and modulation of cellular function and dysfunction that influence human health and disease. The Department supports state-of-the-art facilities, including a high-performance parallel computing cluster to support genomics, proteomics, metabolomics and bioinformatics analyses of large and complex datasets, and high-throughput facilities in genomics, proteomics, and metabolomics. The new faculty member will have access to existing datasets on human and non-human primate cohorts, with comprehensive transcriptomic, DNA methylation, proteomic, and metabolomic profiling data, derived from studies focusing on the genetic basis of cardiovascular and metabolic disorders.
Qualified applicants must have a doctoral degree in any biological discipline, statistics, or computational sciences, and proven record of a federally funded independent research, as evidenced by appropriate funding and publications. Demonstrated experience in analysis and interpretation of large-scale sequence data, and integrated analysis of transcriptomic, proteomic, or metabolomic data is expected. Experience in high performance computing will be highly beneficial.
For inquiries, please contact the Chair of the Department of Genetics, Dr. Michael Olivier (molivier@txbiomed.org). Interested candidates should submit a CV, a description of research interests, and a summary of past research experience to the Chair, Bioinformatics Search Committee, c/o Human Resources Office, Texas Biomedical Research Institute, P.O. Box 760549, San Antonio, Texas 78245-0549, or apply online for position 15-065 at http://www.txbiomed.org/about/employment. EOE
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