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Advanced working knowledge of one or more of the following quantitative programming, data analysis, database skills, numerical and statistical tools such as: Stata, VBA, R, SAS, Python, SQL, and/or MATLAB strongly preferred.
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SAS and / or statistical programming experience; Experience as a Statistical Analyst. Knowledge of statistical methods commonly used in pharmaceutical clinical trials. Write statistical programs for use in creating analysis datasets, tables, listings, and figures.
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Responsible for assessing model risk through evaluation and maintenance of model conceptual soundness, performance monitoring, and model documentation for all credit models related to mortgage risk analytics and counterparty credit risk management.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Medpace is a full-service clinical contract research organization (CRO). A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective.
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O strong experience with SAS, R, Python or other statistical software tools. o experience with SAS, R, Python programming or other programming languages. o ACAS or FCAS designation, or commitment to attaining the FCAS designation.
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Strong experience with SAS, R, Python or other statistical software tools. experience with SAS, R, Python programming or other programming languages. ACAS or FCAS designation, or commitment to attaining the FCAS designation.
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Must have experience with clinical study statistical analysis (modeling, power calculations, right metrics for study design) using SAS programming software. Position Summary: Provides professional statistical support to one or more research studies in the physical, life, and/or socioeconomic sciences, to include data collection, assistance in the establishment of data collection instruments and protocol, data analysis/manipulation and management, computer systems/applications programming and analysis, and reporting.
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