Clinical Data Analyst Job at TalentOla, Kansas

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  • TalentOla
  • Kansas

Job Description

Role: Clinical Data Analyst,

Location: Remote

Experience: 10 years

What this job is about (in simple words)

This role is for a clinical professional (doctor, nurse, or similar) who is very comfortable with medical codes and SQL . Your main job is to check whether a medical terminology database is complete and accurate , and help improve it especially for oncology (cancer) and rare diseases .

Job Title: Clinical Expert Terminology Coverage & Data Analysis

Role Overview

We are seeking a Clinical Expert with strong expertise in medical coding systems and advanced SQL skills to support terminology coverage and completeness metrics across multiple clinical domains. This role combines hands-on data analysis , clinical terminology evaluation , and strategic content expansion initiatives to improve terminology quality and coverage.

Key Responsibilities:

1. Coverage & Completeness Analysis
  • Write and execute complex relational SQL queries to calculate domain-level coverage metrics (e.g., percentage completeness by domain).
  • Collaborate with Subject Matter Experts (SMEs) to define accurate numerator and denominator logic for coverage metrics.
  • Track, analyze, and report progress of coverage improvements over time.
2. Domain Expertise Oncology
  • Assess terminology coverage for:
    • Cancer-related clinical concepts
    • Disease staging
    • Biomarkers
    • Treatment protocols
Rare Diseases
  • Evaluate coverage using MONDO codes .
  • Identify gaps in:
    • Synonyms
    • Related and associated clinical concepts
3. Terminology & Data Model Expertise
  • Work with IMO terminology data models , including:
    • IMO Concept Database
    • Associated knowledge graphs
  • Understand and navigate SNOMED CT hierarchical structures as represented within IMO databases.
4. External Data Evaluation
  • Analyze external clinical data sources such as ClinicalTrials.gov .
  • Review inclusion and exclusion criteria to identify gaps in existing terminology.
  • Prioritize clinical trials and assess opportunities for content expansion, including:
    • Biomarkers
    • Prior treatment history
    • Clinical attributes not currently represented
5. Quality & Process Improvement
  • Perform feasibility assessments for terminology enhancements.
  • Recommend and support improvements to coverage, completeness, and quality .
  • Document workflows, methodologies, and findings.
  • Contribute to continuous improvement initiatives across processes and tools.

Required Skills & Qualifications

  • Clinical background (Physician, Nurse, or equivalent healthcare professional).
  • Strong understanding of medical coding systems:
    • ICD
    • CPT
    • HCPCS
    • SNOMED CT
    • LOINC
    • RxNorm
    • NDC
  • Exceptional SQL skills for relational database querying and data analysis.
  • Familiarity with Electronic Health Records (EHRs) and clinical documentation.
  • Experience with clinical terminology mapping and hierarchical structures.
  • Ability to evaluate external clinical data sources for terminology gaps.
  • Strong analytical, communication, and documentation skills.

Preferred / Bonus Skills

  • Experience with IMO terminology and data models.
  • Knowledge of oncology and rare disease coding standards .
  • Exposure to NLP and AI concepts for clinical data enrichment.

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