Data Analyst / Bioinformatics Specialist
Department: Arthritis & Clinical Immunology - Nath
Job Summary/Basic Function:
The Nath laboratory is seeking a highly motivated, self-starter senior level technician with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of the systemic lupus erythematosus (SLE or lupus), an autoimmune diseases. 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, patients-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 wide range of analytical methods and 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.
Must have knowledge and experience of statistical genetic methods for gene-mapping for complex traits, and computer programming skills (e.g. familiarity with UNIX-like OS, and at least one programming language) are required.
Master’s degree or PhD in Biostatistics/Bioinformatics desired.
The successful applicant is expected to have a strong interest in genetic epidemiology of complex traits and will have experience in both the application/implementation of established methods for genetics association studies, and in methods development.
Regularly moves about the work environment, talks, hears and listens. Occasionally lifts or moves up to 10 pounds. Requires the ability to see. The noise level and typical work conditions are consistent with an office environment.
Apply online at http://omrf.peopleadmin.com/postings/3103.