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The University of Maryland Medical System (UMMS) is looking to support clinical and translational research by delivering high-quality data resources and identifying research insights from a large number of diverse datasets.

Requirements

• At least two (2) years of experience writing reports using healthcare data against Epic data warehouses (Clarity or Caboodle).
• At least two (2) years of experience using standardized clinical code systems (e.g. ICD10, SNOMED CT, LOINC, RxNorm, UMLS) and common data models (OMOP)
• At least two (2) years of experience in a healthcare reporting or biomedical research environment working with enterprise data warehouses, including data profiling, data quality assessments, data analysis/reporting, data set curation
• At least two (2) years of SQL programming expertise
• Experience working within HIPAA-compliant or other highly confidential data environments
• BI developer skills (e.g. Tableau reports, Power BI)
• Strong analytical skills, critical thinking, attention to detail and accuracy

Responsibilities

• Lead scoping and documentation of clinical research data requests, ensuring clarity and alignment with organizational objectives.
• Translate clinical and research requirements into actionable technical specifications, including SQL queries and data model designs.
• Design, build, and maintain data resources such as relational databases, data marts, data lakes, and flat files (.csv) for research use.
• Write, test, and optimize SQL queries to extract and transform data, contributing to code reviews and ensuring data quality.
• Execute data requests within defined scope and timelines, maintaining responsiveness to a one-business-day service level agreement (SLA).
• Identify and resolve data anomalies, validate new data sources, and troubleshoot data quality issues to ensure reliability.
• Provide flexible, on-demand data analysis to support business decisions and research inquiries.

Other

• Bachelor’s degree in health science related field (e.g. biostatistics, epidemiology, etc.) or technology (e.g. computer science, engineering, etc.), or a related field from an accredited institution
• Excellent customer service skills
• Excellent written and oral communication skills
• Ability to communicate with cross functional teams
• Ability to support development of BI dashboards and reports, and data analytic initiatives