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with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
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methods, Bayesian statistics, and/or an interest in applied empirical problems. We are particularly interested in candidates with expertise in applications of artificial intelligence in marketing
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role in advancing our mission to develop next-generation digital twin frameworks that integrate physics-based modeling, data-driven inference, and real-time monitoring to support robust lifecycle
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. The analyst partners with researchers, bioinformaticians, and data scientists to provision elastic, fault-tolerant systems for genomic pipelines, AI/ML model inference, and large-scale data lake analytics
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that are applicable to GRC’s work are survey sampling and methodology, small area estimation, statistical process control, probabilistic linkage, causal inference methods, and predictive modelling. GRC’s current
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matter expertise in survey design and estimation, statistical disclosure avoidance, and causal inference; (7) contribute to new project development; (8) develop and implement research policies and