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Ability to use statistical programs, such as Python, R, Stata, SAS, and Matlab, to organize data into files and to perform advanced statistical and econometric analyses. Organizes data for analysis and writes computer programs using Python, R, SAS, Stata, Matlab and other software.
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Excellent SAS programming skills and willingness to lead the implementation of new software (i.e., R, Python) ~ Must be willing and able to write and validate SAS code (study-level programming support) if necessary.
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Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint) At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company.
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Free onsite 24/7 Fitness Center including training classes, Peloton bikes and locker room / shower facilities. Designs databases for use in economic research projects and machine learning projects across the bank.
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Candidate will have experience with statistical software such as SAS, R, Matlab, or Stata, SQL, a scripting language such as Python or Perl, Bourne shell scripting, experience working in a Unix environment, and familiarity with code version control.
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Experience working with a variety of modeling tools and platforms commonly used in the insurance industry (e.g., SAS, R, Python, TensorFlow). Experience working with a variety of modeling tools and platforms commonly used in the insurance industry (e.g., SAS, R, Python, TensorFlow.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Technical ability with statistical software packages including coding, debugging, modeling and economic analysis with relevant programming languages (Python, R, SAS, SQL, etc. Demonstrated ability to perform quantitative analysis utilizing computation packages such as Python(numpy and pandas), R and SAS. Knowledge of relational Databases/SQL.
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It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big. It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big.
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Strong technical skills required to extract, transpose, and analyze Big Data housed in Teradata and Hadoop using SQL and SAS/R/Python and output through advanced visualization tools including, but not limited to, Tableau/R/Python.
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Hands-on experience with at least one EDC system (e.g.: Medidata Rave, Inform, Veeva etc.,) Confirm archival and inspection readiness of all Clinical Technology Trial Master File (TMF) documents. Configure other modules within the EDC ecosystem such as coding, integration of IRT, safety system, local labs etc.
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The EDC Engineer will work with Data Management and Standards teams to implement new processes as well as enhance existing processes for efficiencies and compliance with Takeda Clinical trial builds. Experience integrating other clinical trial modules (e.g.: lab, safety, IRT, coding etc.,) with the EDC system.
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Experience (preferred): working knowledge of statistical packages such as SAS/JMP, R, Stata, GIS or similar; working experience in data management using Python, SQL, M, Dax, or other relevant software packages; and experience working with software developers, software vendors and statistical analysis groups.
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In-depth knowledge of statistical modeling concepts including ability to understand, evaluate, and design code written in R, Python, and/or SAS as well as working knowledge of commonly used statistical programs like Stata and statistical modeling techniques and add-ins in excel.
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Extract and analyze large healthcare data using SAS, SQL, R, Python, Teradata, Hadoop, etc. Experience with statistical software program such as SAS/SAS EG, R and/or Python is required.
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