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The Farris and Lessard labs are seeking a highly organized, motivated individual to contribute to projects investigating inflammation and autoimmunity. Duties will include performance of detailed molecular protocols, molecular cloning, quantitative RT-PCR, basic cell culture, ELISA assays, and organization of data into tabular and graphical forms.
The laboratory of Dr. Pengchun Yu in the Cardiovascular Biology Research Program at the Oklahoma Medical Research Foundation (OMRF) is seeking postdoctoral scientists.
We focus on the interface between cellular metabolism and vascular biology and have a proven track record in this field (Circulation Research, 2010; Circulation, 2012; Nature, 2017; J. Biol. Chem., 2021). More information about the lab can be found at https://yulab.omrf.org/. The successful candidates will work on research projects that study the crosstalk between metabolic programs and angiogenic signaling and the involvement of cellular metabolism in the pathogenesis of vascular diseases. Multidisciplinary strategies will be used, ranging from novel genetically modified mouse models to cutting-edge systems biology tools including metabolomics and single-cell transcriptome analysis.
OMRF is an independent, nonprofit biomedical research institute. The innovative basic and translational research at OMRF covers several critical areas such as cardiovascular disease, autoimmune disease, and cancer. OMRF has made The Scientist magazine’s annual list of the “Best Places to Work for Postdocs” for many years. The institute offers postdoctoral fellows an exceptional research and training environment with state-of-the-art facilities and outstanding core technology laboratories including imaging, next-generation sequencing, and clinical genomics. Moreover, postdoctoral scientists are encouraged to apply for OMRF Postdoc Travel Awards to support their attendance at meetings or workshops.
The Lessard lab is seeking a Post-doctoral Fellow with experience in computational sciences to join our research team. Our research investigates the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjögren’s syndrome, systemic lupus erythematosus (SLE), and other autoimmune diseases.
We perform a wide variety of high-throughput sequencing technologies in both bulk and single cell technologies: genotyping arrays, RNA-seq, single cell (sc)RNA-seq, Perturb-seq, long sequence Nanopore sequencing, spatial transcriptomics, etc. In addition, we leverage gene-editing technologies, i.e. CRISPR/Cas9 editing, to functionally characterize non-coding regulatory regions of the genome in the context of native 3D chromatin regulatory network using 3C technologies (3C-qPCR, etc.) and promoter capture Micro-C.
Candidate must demonstrate proficiency in computer programming (UNIX-like OS, R, and python), and the application of statistical methods commonly used to analyze genetic data. Experience using data analysis pipelines and machine learning analytical approaches is a also preferred. Candidates must also demonstrate an ability to interpret and summarize research findings, and interest in assisting manuscript preparation and grant writing, and presenting at scientific meetings.
The James Lab and Guthridge Lab are hiring for a Project Manager. This position will help with the leadership of a national, high-visibility NIH & Industry funded projects focused on clinical-translational research programs across multiple autoimmune disease including lupus, rheumatoid arthritis, Sjogren’s syndrome and psoriatic spectrum diseases.
The successful applicant will be a dynamic leader at the center of the administrative management of multiple NIH and industry funded projects to include the following responsibilities a.) drafting and implementation of program policies, procedures, b.) helping set, assess and report on program progress and milestones, c.) coordinate overall program budget allocations between subproject sites and funding organizations, d.) coordinate & document proceedings of the program steering committee, leadership and subproject committee meetings, e.) ensure all parties of program are in compliance with all regulatory obligations including material transfer agreements, human subjects and institutional review board protocol approvals, f.) assist with the logistics and compliance with clinical operations and sample processing training, proficiency and performance assessments of national clinical sites. In addition, this position will also engage in management activities of other divisional activities for multiple investigator, collaborative NIH granges and investigator-initiated clinical trials, progress reports, verification of billing and expenses across all lab/divisional projects, marketing of clinical resources and technology core capabilities to attract investments by BioPharma in the unique Arthritis & Clinical Immunology opportunities.
The Nath Lab is seeking a highly motivated, hardworking and organized team player (Post-doctoral Fellow / Assistant Staff Scientist) to join our effort to understand genetic mechanisms of lupus, an autoimmune disease. Using whole genome search, 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, and genome editing using CRISPR/Cas9. Candidate will be involved in the analysis of human genetic data and the development of computational methods, which requires a mix of computational skills, statistical knowledge, creativity and biological insight. Specifically, candidate will identify novel therapeutic targets and biomarkers from the investigation of human genetic variation (GWAS, Next Gen Sequencing) with disease status and intermediate variables using cutting-edge techniques in Statistical Genetics. Candidate will develop and apply methods for the integration of GWAS summary results with other types of data e.g. eQTL, mQTL, functional genomic annotations, gene networks, estimation/partitioning of heritability, Mendelian Randomization to understand causal direction, and fine mapping. Candidate will collaborate with experimental and clinical scientists to address target mechanism specific questions and seek to support investment decision making with genomic insights.
The Nath laboratory in the Arthritis and Clinical Immunology research program is seeking a highly motivated, self-starter staff-scientist/post-doctoral level 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, an autoimmune diseases. Successful candidates will be proficient in wide range of contemporary molecular biology techniques such as, high-throughput sequencing of DNA, RNA, and methylation, ChIP-Seq, ChIP-qPCR, Single cell genomics, flow cytometry, cloning, cell culture etc. Experience in genome CRISPR/Cas9 or similar approaches will get preference. Competitive individuals will also have some experience in the analysis of genetic data, high-throughput sequencing data and the use of bioinformatics software.
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.