Utah Staffing
Data Architect Sr
Utah Staffing - Salt Lake City, Utah, United States, 84193
Work at Utah Staffing
Overview
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Overview
Job Posting
Work with a talented team of developers, researchers and clinicians in the University of Utah Division of Epidemiology to conduct large-scale research projects in the domain of infectious diseases. The successful candidate will work collaboratively to develop analysis plans and technical specifications, maintain study documentation, create study cohorts and analytic files from relational databases, extract information from clinical text using natural language processing (NLP), and conduct basic and advanced statistical analyses within the University of Utah Center for High Performance Computing (CHPC) and the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) computing environments. Previous experience VA CDW, University Electronic Data Warehouse (EDW), or other large electronic health record or administrative healthcare data sets strongly preferred. Must be proficient in data analysis and management familiar with Microsoft Business Intelligence stack. Experience with TSQL, SSIS, SSRS, SSAS and Power BI strongly preferred. Proficiency in either Python or R required. Familiarity with natural language processing libraries (spaCy, medspaCy, huggingface, etc.) and/or machine learning frameworks (scikit-learn, Pytorch, etc.) a plus.
Work with a talented team of developers, researchers and clinicians in the University of Utah Division of Epidemiology to conduct large-scale research projects in the domain of infectious diseases. The successful candidate will work collaboratively to develop analysis plans and technical specifications, maintain study documentation, create study cohorts and analytic files from relational databases, extract information from clinical text using natural language processing (NLP), and conduct basic and advanced statistical analyses within the University of Utah Center for High Performance Computing (CHPC) and the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) computing environments. Previous experience VA CDW, University Electronic Data Warehouse (EDW), or other large electronic health record or administrative healthcare data sets strongly preferred. Must be proficient in data analysis and management familiar with Microsoft Business Intelligence stack. Experience with TSQL, SSIS, SSRS, SSAS and Power BI strongly preferred. Proficiency in either Python or R required. Familiarity with natural language processing libraries (spaCy, medspaCy, huggingface, etc.) and/or machine learning frameworks (scikit-learn, Pytorch, etc.) a plus.