Source description
About the role
Excellent organizational and communication skills with an emphasis on problem-solving and building subject matter expertise.
Intermediate understanding of EHR data integration and applicable data standards, including FHIR, QRDA, CCDA, SNOMED CT, LOINC, ICD-10, CPT and RxNorm
Experience applying project management principles and techniques with an eye towards execution. To include skills in leading and managing change within the team and initiative more broadly.
Knowledge of healthcare administrative and clinical data sets, including demographics, financials, encounters, labs, diagnoses, and medications.
Familiarity with software development environments, version control systems and basic coding or scripting languages to better communicate with development teams and participate in technical discussions.
Basic understanding of clinical workflows across inpatient, ambulatory, and ancillary care settings, including how data is captured and used in EHR systems.
Experience working with EHR, practice management, revenue cycle tools, or population health platforms to support clinical or operational use cases..
Experience with clinical datasets to ensure accurate patient record linkage, data integration, and interoperability between clinical, administrative and claims data sources.
Experience applying NLP and/or ML techniques for extracting structured clinical insights from free-text data (e.g., clinical notes, CCDAs, scanned documents).
Experience working with clinical data pipelines including ingestion, normalization, and mapping to standardized terminologies and schemas.
Proficient in SQL, with experience querying large healthcare datasets in PostgresSQL or similar environments.
Experience using Databricks to manage, process and analyze large-scale clinical data using Spark SQL, Delta Lake, and data pipelines, particularly for clinical interoperability workflows.
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