Clinical Data Analyst- Direct Hire- Remote in Remote at Vaco

Date Posted: 9/6/2019

Job Snapshot

Job Description



Vaco is looking for a Clinical Data Analyst for our local client. This person can sit remote, but must have the clinical experience.

Responsibilities:

  • Identify, evaluate, map, preprocess raw data for integration from disparate clinical sources using steadfast data governance principles.
  • Assist the team with healthcare standards such as HL7 and DICOM and coding systems CPT, HCPCS, SNOMED, ICD9/10, LOINC, RxNorm to handle clinical/oncology data appropriately in the system.
  • Engage with customers, prospects and other experts to understand, analyze complex data systems, define and document key data element requirements, flow, relationships and dependencies.
  • Assist in definition, documentation and communication of standards and processes to adopt and implement data quality in CIDT and client organizations with validated product requirements.
  • Investigate and communicate data source anomalies.
  • Prioritize and validate product test cases.


Requirements:

Data ingestion/cleansing/enrichment:

  • Demonstrated competency with disparate health care data sources for ingestion, metadata, mappings, ontology management, data catalog management, reference data, rules/hierarchies and normalization.
  • Profound knowledge of clinical terminologies to create reference data and transformation to data standards (e.g. HL7, RxNorm, ICD 9, ICD 10, LOINC, Medications, UCUM, UMLS, SNOMED CT, etc.) using services such as Health Language and First Data Bank or other clinical/oncology and messaging references.
  • Ability to collate/review data for submission monitoring for outliers, error processing and validation using address verification, enterprise master patient index (EMPI) and provider reference services.
  • Healthcare information technology experience specific to electronic medical records (EMR), clinician notes, imaging, laboratory, pathology, and medication administration to create enriched patient data with clinical analytics concentration.
  • Proficiency with SQL and for product development related to data collection, aggregation, application development, analysis, and reporting.
  • Familiarity with systems engineering concepts, data modeling, data architecture, data warehousing, databases and datamarts preferable.
  • Understanding of CMS claims, claim line feed data and revenue cycle management.
  • Conceptual understanding of AI/ML pipelines and Natural Language Processing.