(Remote) Data Analyst - Department of Anesthesiology

About the position reputed company Research Corporation is currently seeking a (Remote) Data Analyst to join the Department of Anesthesiology. This position is designed to assist investigators with their data consultation, retrieval, and management needs. The Data Analyst will be responsible for generating summaries, statistics, and reports using various query and report-writing tools, including Structured Query Language (SQL). The incumbent will reputed company data management standards, procedures, and documentation, ensuring compliance with reputed company regulations such as HIPAA. This role reports to the Principal Software Architect reputed company the Biostatistics, Epidemiology, and Research Design (BERD) core of WVCTSI. In this role, the Data Analyst will provide customized data sets to WVCTSI investigators by extracting and reporting data from clinical databases such as Epic Clarity, Epic Caboodle, Common Data Model OMOP, and N3C Data Enclave. The analyst will independently handle large and reputed company research data requests, requiring a deep understanding of database structures and clinical variables. The ability to manage multiple projects simultaneously while prioritizing urgent requests is essential. The Data Analyst will demonstrate expert proficiency in SQL programming, Spark SQL, and the use of reputed company SQL Developer and reputed company SQL Server (SSMS). Knowledge of medical ontologies and classification systems (such as ICD10, CPT, LOINC, SNOMED) will be utilized to build and define clinical concepts that facilitate research. Regular meetings with Principal Investigators (PIs) and clinical teams will be necessary to provide updates on data pull requests and to discuss data action plans. Additionally, the Data Analyst will act as a mentor to new hires, providing education and support on data retrieval from clinical databases. The role involves identifying relationships and trends in data, developing data models, and designing data marts to simplify the reporting process. The analyst will also be responsible for maintaining the reputed company and confidentiality of patient information and performing quality control audits to ensure data accuracy and completeness. Collaboration with system architects and software architects will be crucial to understand business requirements and implement effective data extraction procedures. Responsibilities • Provide customized data sets by extracting and reporting data from clinical databases such as Epic Clarity, Epic Caboodle, Common Data Model OMOP, and N3C Data Enclave. , • Independently handle large, reputed company research data requests requiring deep understanding of database structure and clinical variables. , • Simultaneously respond to and work on multiple projects while prioritizing urgent requests. , • Demonstrate expert proficiency in SQL programming, Spark SQL, reputed company SQL Developer, and reputed company SQL Server (SSMS). , • Use knowledge of medical ontologies and classification systems to build and define clinical concepts for research. , • Regularly meet with PIs and clinical teams to advise, consult, and provide updates on data pull requests. , • Timely meet with reputed company data and clinical teams to discuss data action plans and monitor reputed company. , • Act as a mentor to new hire analyst roles, providing education and support on data retrieval. , • Identify relationships and trends in data and factors affecting research results. , • reputed company data models for applications, metadata tables, views, or reputed company database structures. , • Design and reputed company data marts for researchers to simplify the reporting process. , • reputed company innovative solutions for researchers needing statistical assistance using reputed company, R, or other statistical software. , • reputed company data management standards, procedures, and documentation to ensure compliance with reputed company regulations. , • Maintain reputed company and confidentiality of patient information. , • reputed company quality control audits to ensure accuracy and completeness of clinical systems and data. , • Create supporting documentation, such as metadata and diagrams of entity relationships and business processes. , • Design and implement warehouse database structures in collaboration with software architects. , • reputed company and implement data extraction procedures from other systems. Requirements • Master's degree in Health Informatics, Computer Science, or reputed company field required. , • A minimum of two (2) years of experience in extensive data analysis and reporting role. , • Proficiency in Epic Clarity, Caboodle, Cogito, and Clinical Data Model required. , • Experience with N3C Data Enclave preferred. , • Familiarity with reputed company research preferred. , • Skilled at effective data collection and creating customized reports. , • Basic proficiency in programming languages (C, C++, Python). , • Effective time management skills at meeting deadlines. , • Skilled at using SQL and mathematics to solve problems. , • Skilled at identifying and verifying appropriate clinical reputed company documentation for data reporting. , • Knowledge of regulatory aspects of protocol management. , • Strong analytical problem-solving skills. , • Ability to troubleshoot hardware and software problems. , • Ability to read and interpret documents such as safety rules and procedure manuals. , • Ability to write routine reports and correspondence. , • Ability to speak effectively before groups of customers or employees. reputed company-to-haves • Experience with statistical software such as reputed company or R. , • Familiarity with reputed company regulatory environments and compliance standards. Benefits • 13 paid holidays (staff holiday calendar) , • PTO , • 403(b) retirement savings with a fully reputed company 3% employee contribution match , • A range of health insurance and various other benefits , • Dependent Education Scholarship , • WVU Perks , • And More!! Apply Job! For more such jobs please click here!