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biomarker discovery. Develop and implement advanced computational tools for the analysis of large-scale ophthalmic imaging, visual field data, and multi-omics datasets. Contribute to interdisciplinary
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts
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develop end products Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff. Requests or acquires equipment and supplies for assigned project(s
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, and a significant publication record in peer-reviewed biomedicine publications, especially with emphasis on machine learning and big data. Demonstrated ability to lead innovative research projects
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methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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leverage large-scale advertising and media messaging datasets and is ideal for individuals with strong backgrounds in Computer Science, Data Science, Machine Learning, Communication Science, Psychology
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with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a
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, or large data analysis. Experience: Minimum 3 years of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a
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one or more of the following areas: cancer and aging, dissemination and implementation science, and AI/ML or big data analytics. These areas would complement existing and developing research programs in