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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological
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including working with pathogenic (BSL-2) strains. Experience with immunoassays including flow cytometry, ELISAs, and preferably multiplexing technology like Luminex or MSD. Including analysis and statistics
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, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data mining, statistical analysis, and computational modeling; Experience with programming
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, databases, text). Conducts statistical analyses and visualize results. Extracts meaningful insights from complex data. Develops predictive models using supervised and unsupervised learning approaches
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. and globally. Qualifications: A doctoral degree (PhD and/or MD) completed or pending in quantitative discipline (Bioinformatics, Computer Science, Statistics, Applied Mathematics, etc.) is desired with
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experimental collaborators and design experiments is also highly desired. The position requires independent, career-focused, and creative individuals. • Ph.D. in Mathematics, Computer Science, Statistics