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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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, 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