PTR#08-345
DUTIES:
The Associate Specialist will assist PI by applying known and novel methods to analyze data from genome-wide association studies, reviewing their design and effectiveness. The candidate will apply known, and assist in developing novel, computational and statistical methods to help analyze genomic data and associated information, including data related to genotyping, copy number variation, high-throughput sequencing, and transcriptomic and methylomic studies.
The successful candidate will assist in building software infrastructure, documentation, and tools to facilitate analysis. Oversee database quality control and data integrity. Analyze associations between genetic variants and disease risk using genomic and phenotype data. Identify functional consequences of these variants. Apply known and novel statistical analyses to address cofounders such as population stratification and cryptic relatedness. Utilize and review alternative haplotype analyses and genotype imputation on public-use data. Use and review alternative statistical methods for identifying epistatic and gene-environment interactions. Implement an infrastructure to integrate high throughput transcriptomic and methylomic data in GWAS. Generate gene ontology and pathway reports. Compile analyses and assist in creating reports on research findings for peer-reviewed scientific manuscripts and presentations, making presentations as needed to scientific groups.
MINIMUM QUALIFICATIONS:
MPH or MS in biostatistics, bioinformatics, or a relevant field and 2-3 years relevant experience in bioinformatics research and genomic and expression studies. Experience in the review, design, and management of large databases, performing high level statistical analyses, and creating study reports and presentations. Advanced experience in computational and statistical methods, GWAS, to help analyze genomic data. Experience in database management, integration, and quality control. Experience in compiling data analyses and drafting and editing scientific manuscripts and grant proposals. Proficiency in written, spoken, and technical English. Experience in working with divergent groups of researchers for common goals.