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Position: Data Analyst/Bioinformatics Specialist
Institution: Oklahoma Medical Research Foundation
Location: Oklahoma City, Oklahoma, United States
Duties: The Nath laboratory is seeking a highly motivated, self-starter senior level scientist with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of systemic lupus erythematosus (SLE or lupus), an autoimmune disease. Using large-scale genome wise association studies (GWAS), our lab has identified several genes/genetic variants associated with lupus susceptibility. Now we are trying to understand the specific functional effects of those lupus associated genetic variants, using cell lines from patient-derived primary immune cells or tissues. We will apply various modern techniques for studying features of three-dimensional (3D) genomic organization such as 3C, Hi-C, ChIP-Seq, RNA-seq and genome editing using CRISPR/Cas9 based techniques. Successful candidate will be proficient in a wide range of analytical methods and the use of bioinformatics/genetics software for analyzing and interpreting various types of data
Requirements: Bachelor’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or a combination of relevant experience and education
   
Text: Data Analyst/Bioinformatics Specialist The Nath laboratory is seeking a highly motivated, self-starter senior level scientist with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of systemic lupus erythematosus (SLE or lupus), an autoimmune disease. Using large-scale genome wise association studies (GWAS), our lab has identified several genes/genetic variants associated with lupus susceptibility. Now we are trying to understand the specific functional effects of those lupus associated genetic variants, using cell lines from patient-derived primary immune cells or tissues. We will apply various modern techniques for studying features of three-dimensional (3D) genomic organization such as 3C, Hi-C, ChIP-Seq, RNA-seq and genome editing using CRISPR/Cas9 based techniques. Successful candidate will be proficient in a wide range of analytical methods and the use of bioinformatics/genetics software for analyzing and interpreting various types of data Bachelor’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or a combination of relevant experience and education
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