Posting Number: 000145
Position Type: Other
Department: Arthritis & Clinical Immunology – James
Job Summary/Basic Function:
The Oklahoma Medical Research Foundation (OMRF) is an independent, not-for-profit, biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC) located in Oklahoma City. OMRF investigators have internationally recognized expertise in Autoimmunity, Immunology, Genetics, Aging, Cardiovascular Disease, and Cancer. Our Autoimmune Disease Institute (ADI) houses Centers of Excellence and specialty research clinics for Rheumatic Diseases (focusing on Lupus, Rheumatoid Arthritis, UCTD, and Sjogren's) and for Multiple Sclerosis and related diseases. In addition to following over 4,000 patients with these conditions, teams of basic and clinical investigators conduct extensive clinical, translational and mechanistic research using samples obtained from these large clinical programs. Investigators at OMRF enjoy close scientific interactions with OUHSC faculty and participate in OUHSC graduate programs. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org Our Translational Informatics group is seeking a bioinformatician to support both our clinical and basic research programs in autoimmune disease. Projects will include quality control, basic and Machine Learning analytic approaches to interpret single cell technology data from a wide range of technologies in the ADI. Technologies include but are not limited to single cell transcriptomics, single cell proteomics, spatial transcriptomics, inclusion of genetic variant information in eQTL analyses and highly multiplexed imaging technologies data including cell-distance and cell-pairing interation analyses. Systems in the division include 10X Genomics (scRNA-Seq, T-B repertoire, snATAC-Seq, Total-Seq, spatial transcriptomics), Fluidigm Helios and Hyperion mass cytometry/mass imaging, Zellkraftwerks ChipCytometry systems. Rich datasets already exist for immediate application of precision medicine and molecular phenotype classification of subjects using machine learning approaches, systems biology approaches, high content data analysis, data visualization and reporting for publications and grants, bioinformatics analyses of results from various transcriptomic/genomic assays. This position involves working both independently and as part of the translational informatics team. OMRF's 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.
Master’s degree in Bioinformatics, Math, Statistics, Biostatistics, Computer Science, MIS, or relevant field and 2 years relevant experience or a combination of relevant experience and education. Strong project management, organizational, attention to detail, analytical, customer service, and verbal and written communication skills required.
Minimum Degree Required:
Ph.D. in Bioinformatics, Math, Statistics, Biostatistics, Computer Science, MIS, or relevant field. Experience with analysis of single cell data analysis pipelines, including single cell transcriptomic/cell-hashing/Total-Seq and CytoBank (Mass Cytometry/Helios CyTOF, multispectral cytometry) and tissue-based analytics (Hyperion/imaging mass cytometry, ChipCytometry a plus. Consultative experience would be beneficial. Programming experience (Python, R) is a plus.
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.
To apply, visit https://omrf.peopleadmin.com/postings/3537