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The NCRI employs physician clinical researchers, research nurse, project managers, data managers, SAS programmers, systems analysts, grants managers and administrative assistants dedicated to planning and implementing clinical trials.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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We are looking for a leader to develop our field cloud security SAs to become domain experts on cloud security and proficient on competitive products so they can effectively position Prisma Cloud to our customers in a differentiated way that leads to customer wins.
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Develop collaborative partnerships with Clinical Operations, Pharmacovigilance, Data Management, Biometrics, Medical Writing and Regulatory Affairs leadership to maintain a current understanding of potential areas of quality risk exposure across all studies.
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Working knowledge of analytical tools/software such as SAS, SQL, R, Python. High proficiency in Microsoft Excel and PowerPoint required; strong to expert proficiency in Tableau/Power BI, SQL, Alteryx.
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We are seeking an individual to develop and implement specialized statistical techniques and statistical programming using SAS to analyze and manage administrative data for individuals enrolled in Medicare and Medicaid.
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Must be proficient in SAS. Experience with Stata, Excel, R, and Python a plus. Develop SAS programs that are flexible, reusable, scalable, computationally efficient, and maintainable. Master’s degree or doctoral degree in related field (e.g., public health, epidemiology, statistics, quantitative social sciences, or economics) preferred.
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You will have a BSc, MSc or PhD degree in statistics, psychology, life sciences, or another relevant field; knowledge of relevant psychometric methods including classical test theory, factor analysis, and item response theory/Rasch analysis; and experience with performing analyses in statistical software (e.g., SAS, Stata, R, Mplus.
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Experience and knowledge in STATA with experience in SAS, R, and Matlab a plus. Experience and knowledge in STATA with experience in SAS, R, and Matlab a plus. The candidate will work in the clinical and research areas of BWH cardiovascular disease prevention and imaging programs and will require professionalism, self-motivation, and an ability to work independently, as well as with others.
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Strong programming skills in SAS required, R programming experience preferred. Lead and/or author development of new procedures and process improvement (e.g., development of statistical standards such as SAPs, outputs; data sharing procedures for internal and external audiences; data QC prior to release) to meet the needs of an evolving Biometrics Department.
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Excellent knowledge of statistical programming in SAS including Base, macro, STAT, GRAPH, SQL. Excellent knowledge of statistical programming in SAS including Base, macro, STAT, GRAPH, SQL. Solid understanding of industry standards applicable to clinical study data and reporting on clinical trials, including CDISC standards.
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Strong technical skills, including the ability to independently execute complex data analytics in at least one programming language (e.g., SQL, SAS, SPSS, Stata, R, etc. Construction & Government Contracting, Corporate Finance, Discovery & Forensic Technology Services, Economics & Damages, Energy, Financial Services, Global Investigations + Strategic Intelligence, Healthcare, Latin America, Middle East, Strategy & Advisory, Business Transformation, Disputes & Investigations, Asia-Pacific, Performance Improvement, Digital Economy, and Consulting.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential.
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Hands on experience and proficiency with analytical & visualization tools (Python and R preferred; SQL, SAS, Tableau, Qlik, Alteryx, PowerBI, etc.) Experience with pharmaceutical data sources (e.g., IQVIA or Symphony claims, specialty pharmacy data, and Syndicated data sources); Deep understanding across various pharmaceutical data facets/processes, including data creation and acquisition, management, governance, data quality, integration, visualization and statistical modelling.
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Proficiency with query languages such as Python, R, SQL, or SAS - Preferred. Proficiency with query languages such as Python, R, SQL, or SAS - Preferred. Our Primary Care Actuarial Team offers candidates the opportunity to support the evolution of value-based care across all lines of business by collaborating directly with primary care providers.
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