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FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds
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, molecular biology, evolutionary biology to genomics and bioinformatics. The research produces and utilises large-scale datasets in ecology, bioinformatics, and metabolomics, or the study of cellular
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BIOINFORMATICIAN I - (T224740) Description To perform data management, quality control, data processing, data analysis and other bioinformatics-related tasks on high-dimensional data in coordination
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are internationally recognized in research areas including software engineering, data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The department is housed within
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members. The faculty are internationally recognized in research areas including software engineering, data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems
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. Qualifications: Minimum Qualifications: Entry Level: Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Epidemiology, or related field. Intermediate Level
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, Translational Basic Science, Public Health, Social Sciences, Communication, Health Services Research, Bioinformatics, Health Sciences, or other related fields. Required Related Experience Training and experience
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for Molecular Biology and Cytometry Research, which provides services specializing in genomics, proteomics, bioinformatics, cytometry, and imaging. The Oklahoma Medical Research Foundation (OMRF) is adjacent
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training in the frame of ELIXIR Luxembourg For further information about this position, please contact: Your profile Strong experience in data analysis environments commonly used in bioinformatics and
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assay development. Basic bioinformatics proficiency and ability to collaborate on data analysis. MINIMUM QUALIFICATIONS: PhD and 10 years of professional level experience in a technical or research lab