⭐ Clinical Concepts & Data Quality Analyst

📢 WE’RE HIRING: Clinical Concepts & Data Quality Analyst
🌎 Work Location: Remote

Are you passionate about healthcare data, clinical terminology, and data quality? Join KONZA Health and help ensure healthcare data is accurate, consistent, secure, and reliable to support better patient care and informed decision-making.

We’re looking for a detail-oriented and analytical professional with healthcare data experience who can collaborate with clients and technical teams to maintain high-quality clinical data standards.

• →Develop and validate clinical nomenclature and code sets for Natural Language Processing (NLP).
• →Conduct quality reviews of clinical data, data extracts, and output files.
• →Define data extract specifications using data dictionaries and clinical code sets.
• →Support data de-identification and limited data set quality reviews.
• →Review healthcare data in FHIR, XML, HL7v2, and other formats.
• →Collaborate with clients and technical teams to ensure accurate and timely deliverables.
• →Support system implementations, troubleshoot issues, and recommend process improvements.
• →Ensure compliance with healthcare data privacy and security requirements.

• Bachelor’s degree in Health Informatics, Nursing, Health Information Management (HIM), Computer Science, Public Health, or a related field.
• 5+ years of experience working with healthcare data.
• Experience with clinical terminology standards such as LOINC, SNOMED CT, and RxNorm.
• Knowledge of FHIR, C-CDA, USCDI, and HIPAA privacy requirements.
• Experience with clinical data quality assessments, large-scale datasets, and data de-identification.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent communication, organizational, and project management skills.
• Ability to manage multiple projects, prioritize deadlines, and work independently in a fast-paced environment.

🎓 Preferred: A master’s degree in Health Informatics, Biomedical Informatics, Clinical Informatics, HIM, Public Health Informatics, or Data Science.

If you have the experience and expertise to help improve the accuracy and integrity of clinical data, we’d love to hear from you!

📩 Apply today or send us a direct message to learn more.