Clinical Data Specialist

Key Responsibilities

• Review, annotate, and label clinical and RCM-related datasets according to guidelines.
• Apply clinical and insurance knowledge to interpret medical records and billing data.
• Validate data quality, identify discrepancies, and escalate issues.
• Collaborate with clinical, data science, QA, and operations teams.
• Maintain clear documentation of annotation decisions.
• Support reporting and basic analysis using Microsoft Excel and PowerPoint.
• Adapt to changing guidelines and project requirements.

Qualifications

• Bachelor’s degree in pharmacy, Biotechnology, Medicine, or related field (required).
• Strong working knowledge of Microsoft 365 tools.
• Familiarity with SQL and/or Python is a plus.
• Experience working with structured and unstructured medical data.
• 1-2 years of experience as a clinical pharmacist or in a clinical role.
• 1-2 years of experience in medical insurance or Revenue Cycle Management (coding, claims, prior authorizations, denials, or utilization review) is a strong plus.
• Prior exposure to clinical data annotation or auditing is advantageous.

Preferred Qualifications

• Master’s degree in a clinical or healthcare field.
• Masters's degree in Data Science or Data Labelling.

Soft Skills & Competencies

• High attention to details with strong analytical and critical-thinking skills.
• Clear written and verbal communication, with the ability to explain clinical decisions and findings.
• Strong collaboration skills and comfort working in cross-functional teams.
• Effective time management with the ability to meet deadlines in fast-paced, changing environments.
• Flexible, adaptable, and open to continuous learning.