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. 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.
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.
We are seeking a bioinformatician/data analyst to support biomedical research projects and training across the institute. The hire will implement and optimize pipelines for genomic data analysis and facilitate training of individuals in the use of a variety of software, including R and Python packages, for the analysis of datasets from a variety of genomic methods, including RNAseq, ChIPseq, and scRNA-seq. The hire will also work with senior scientists and staff to organize and implement access to training materials and software.
Bachelor’s degree in Bioinformatics, Mathematics, Statistics, Biostatistics, Computer Science, MIS, or a relevant field and 3 years relevant experience/training in a biomedical research setting or combination of experience/education.
Candidates must have prior hands-on experience in genomic data analysis using R and/or Python packages.
Preference will be given to candidates who have demonstrated strong skills in project management, contribution to multiple projects, customer service, verbal and written communication, time management, organization, and experience with education/training.
Interested persons should apply online and include 1) a current CV, 2) a cover letter describing interests and qualifications, and 3) names and contact information of three professional references.
Typically Monday through Friday, 830am to 5pm.
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