Clinical Data Analyst

Clinical Data Analyst

US (Remote)

Role Overview
We are seeking a Clinical Expert with deep knowledge of medical coding systems and exceptional SQL skills to support terminology coverage and completeness metrics across multiple domains. This role will involve hands-on data analysis, terminology evaluation, and strategic content expansion initiatives.

Key Responsibilities

Coverage & Completeness Analysis

• Write and execute complex relational SQL queries to calculate domain-level coverage metrics (e.g., % completeness by domain).

• Collaborate with SMEs to define numerator/denominator logic for coverage metrics.

• Track and report progress on coverage improvements over time.

Domain Expertise

• Oncology: Assess terminology coverage for cancer-related concepts, staging, biomarkers, and treatment protocols.

• Rare Diseases: Evaluate coverage based on Mondo codes and identify gaps for synonyms and related concepts.

Terminology & Data Model

• Work with IMO terminology data models, including IMO Concept DB and associated knowledge graphs.

• Understand SNOMED CT hierarchical structures as represented in IMO databases.

External Data Evaluation

• Analyze external sources (e.g., ClinicalTrials.gov) to identify inclusion/exclusion criteria and gaps in IMO content.

• Prioritize clinical trials and assess opportunities for content expansion (e.g., biomarkers, prior treatment history).

Quality & Process Improvement

• Perform feasibility assessments and recommend enhancements to terminology coverage.

• Document processes and contribute to continuous improvement initiatives.

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 queries and data analysis.

• Familiarity with electronic health records (EHRs) and clinical documentation.

• Experience with terminology mapping and hierarchical structures.

• Ability to evaluate external clinical data sources for content gaps.

• Excellent 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/AI concepts for clinical data enrichment.A