Postdoc/Assistant Staff Scientist - Bioinformatics

at  Oklahoma Medical Research Foundation

QUALIFICATIONS

Applicants should have a Ph.D., M.D., or M.D./Ph.D. (or expect to receive a doctoral degree soon).The successful candidate will investigate the functional effects of lupus-associated genetic variants identified through whole genome searches, utilizing cell lines and patient-derived primary immune cells or tissues. Collaboration with experimental and clinical scientists to address specific target mechanism questions with genomic insights is essential. This position demands a highly motivated, self-driven individual with excellent teamwork and organizational skills.
To apply, visit https://careers-omrf.icims.com/jobs/1719/postdoc-assistant-staff-scientist/job?in_iframe=1
OMRFs excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.
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The Nath Lab is seeking a highly motivated, self-driven, hardworking, and organized team player to join our efforts as a Post-doctoral Fellow or Assistant Staff Scientist in understanding the genetic mechanisms of lupus, an autoimmune disease. Using whole genome searches, the Nath Lab has identified several genes and genetic variants associated with lupus susceptibility. They are also following up on several genetic loci with experiments to understand the specific functional effects of these lupus-associated genetic variants, using cell lines and patient-derived primary immune cells or tissues. This involves applying various modern techniques for studying features of three-dimensional (3D) genomic organization, such as 3C, Hi-C, ChIP-Seq, and genome editing using CRISPR/Cas9. The role involves analyzing human genetic and genomic data and developing computational methods, requiring a blend of computational skills, statistical knowledge, creativity, and biological insight. Key tasks include identifying novel therapeutic targets and biomarkers by investigating human genetic variation (GWAS, Next Gen Sequencing) and integrating GWAS summary results with other data types like eQTL, mQTL, and functional genomic annotations. The candidate will also estimate heritability, perform Mendelian Randomization, and conduct fine mapping.
This position is temporary, but has the potential to become a permanent role.