ECU Health · 2 weeks ago

Data Scientist

Greenville, NC

Full-time

Remote

Mid Level

3+ years exp

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Hospital & Health Care

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Responsibilities

Collaborative and creative team member critical in developing, evaluating, and deploying data science tools for ECU Health Digital Health and Innovation team projects spanning research, digital health, and quality initiatives within Information Services at ECU Health.

Demonstrated proficiencies in programming languages such as Python, R, and SQL.

Demonstrated expertise in extracting, processing, and analyzing large clinical datasets

Experience in the development and implementation of machine learning models, and data visualization

Skilled at preparing and presenting developed data sciences tools to executive leadership and stakeholder groups

Strong attention to detail to maintain data integrity, quality, and security standards including HIPAA

Works closely with the IS enterprise analytics team for alignment of data science reporting format, clinical definitions, and best practices, when appropriate.

Follows methodology and procedures set by Digital Health & Innovation team leadership and Project Management Office (PMO) to complete assigned tasks related to projects.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRSQLMachine LearningData VisualizationData IntegrityHIPAA ComplianceNatural Language ProcessingHL7APIsICD-10SNOMEDRxNormCPTEpic EHRCaboodle

Required

Master's degree or higher in computer science, statistics, data science, or related field

3+ years experience working as a developer or data scientist within the healthcare sector

Demonstrated proficiencies in programming languages such as Python, R, and SQL

Demonstrated expertise in extracting, processing, and analyzing large clinical datasets

Experience in the development and implementation of machine learning models, and data visualization

Skilled at preparing and presenting developed data sciences tools to executive leadership and stakeholder groups

Strong attention to detail to maintain data integrity, quality, and security standards including HIPAA

Preferred

Familiarity with data integrations in healthcare applications including HL7 and APIs

Strong understanding of data standards and terminologies in healthcare such as ICD-10, SNOMED, RxNorm, CPT, etc

Prior experience using natural language processing (NLP)

Prior experience with the clinical data structure of Epic Electronic Health Record (EHR), including data extraction from Caboodle and Clarity databases