[Hiring] Clinical Data Analyst @TalentOla

Role Description

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.

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

• 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.
• Domain Expertise
  • Oncology: Assess terminology coverage for cancer-related clinical concepts, disease staging, biomarkers, and treatment protocols.
  • Rare Diseases: Evaluate coverage using MONDO codes and identify gaps in synonyms and related clinical concepts.
• Terminology & Data Model Expertise
  • Work with IMO terminology data models, including the IMO Concept Database and associated knowledge graphs.
  • Understand and navigate SNOMED CT hierarchical structures as represented within IMO databases.
• 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, and clinical attributes not currently represented.
• 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.

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.