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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Coding skills and/or analytical tools experience (Alteryx/R/SAS/SQL/Tableau etc.) Coding skills and/or analytical tools experience (Alteryx/R/SAS/SQL/Tableau etc.) Work with external data sets (i.e., Claims, Non-Retail, specialty pharmacy, GPO data, etc.
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Familiar with various analytical or reporting tools, such as SAS, R, Matlab Tableau, etc. Experience with the use of Relational Databases and the process of Extract Transform Load (ETL) using common languages such as SQL or SAS.
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Strong familiarity with data and analytic/statistical tools such as SQL, R, Python, SAS as well as Excel. Strong familiarity with data and analytic/statistical tools such as SQL, R, Python, SAS as well as Excel.
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Demonstrated experience with: Tableau, Excel, Business Objects, SAS/SPSS, Microsoft SQL Server, MySQL, Oracle, R, Python. Demonstrated experience with: Tableau, Excel, Business Objects, SAS/SPSS, Microsoft SQL Server, MySQL, Oracle, R, Python.
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Develops and maintains expertise in efficient programming practices in languages and statistical packages, such as SAS, STATA, R, Matlab, SQL, and Python. Specialized experience is defined as experience conducting empirical analysis of consumer financial products or services; writing computer code to conduct the analysis using statistical software packages (e.g., SAS or STATA or similar package); and providing analysis results.
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Perform advanced analytics tasks, including but not limited to predictive statistical models, customer profiling, segmentation analysis, data analysis and mining, and external data enhancement using SQL, SAS, R, Python or PySpark.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. PhD (9+ years experience) or MS (11+ years experience) in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience.
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Experience using Medidata EDC and data visualization programs (e.g., R-Shiny, SAS, SpotFire, Tableu, Excel Pivot Tables, etc.) Experience using Medidata EDC and data visualization programs (e.g., R-Shiny, SAS, SpotFire, Tableu, Excel Pivot Tables, etc.
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Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA.
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Design and maintain internally-used mainframe tools (e.g., zSecure, CARLa, ETF/R, various REXX Execs, EasyTrieve programs, some number of Cobol programs, SAS programs, SQL inquiries via SPUFI.
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Computational skills using Python, R or SAS, especially relevant statistical tools and packages. 2+ years of graduate level experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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Python, SPSS, Stata, SAS, R or similar statistical package capabilities. HTML, Java, R, Python, SQL or similar language coding. Python, SPSS, Stata, SAS, R or similar statistical package capabilities.
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Strong skills in data query and processing using such tools as SQL, Python, R or SAS. Experience with SQL, Python, R, SAS. Bachelor's degree or equivalent; advanced degree in related area(e.g. quantitative finance, economics, statistics, etc.
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Experience with statistical analytics tools such as R, Python, SAS, or STATA. Oversee the continued development of machine learning including supervised machine learning, unsupervised machine learning, deep learning, optimization solutions, image/visual analytics, and natural language processing.
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