Clinical Data Analyst

About the Role

We are seeking a detail-oriented and analytical Clinical Data Analyst to support the collection, management, cleaning, and integration of clinical trial and healthcare data. In this role, you will bridge the gap between clinical operations, healthcare technology, and data analytics to optimize data integrity, system usability, protocol compliance, and workflow efficiency across clinical studies and healthcare systems.

Key Responsibilities

• Clinical Data Management & Governance: Review, clean, and validate clinical trial and health record data across EHR and EDC platforms. Identify data discrepancies, issue queries, and enforce data governance protocols.
• System Design & Workflow Optimization: Participate in User Acceptance Testing (UAT), eCRF design, EHR workflow design, and the implementation of data validation checks aligned with clinical study protocols and operational workflows.
• Statistical & Informatics Support: Perform exploratory data analysis and generate routine summary reports, dashboards, and visualizations using tools like SQL, SAS, R, or Python to monitor study progress, data accuracy, and patient safety trends.
• Regulatory & Protocol Compliance: Ensure data collection, interoperability, and handling adhere to Good Clinical Practice (GCP), CDISC standards (SDTM/ADaM), HL7/FHIR, HIPAA, and regulatory guidelines (FDA/EMA).
• Cross-Functional Collaboration: Partner with CRAs, Data Managers, Healthcare IT teams, Biostatisticians, and Clinical Operations leads to ensure seamless system performance, timely database lock, and reliable data deliverables.

Qualifications

• Education: Bachelor’s or Master’s degree in Health Informatics, Nursing Informatics, Biostatistics, Data Science, Life Sciences, or a related quantitative/healthcare field (Required).
• Experience: 0–5 years of experience in clinical data analysis, clinical data management, healthcare analytics, health IT, or CRO environments.
• Required Skills:
• Strong analytical, clinical workflow, and data-driven problem-solving skills.
• Proficiency in SQL and database query writing.
• Hands-on experience with Electronic Health Record (EHR) systems (e.g., Epic, Cerner) and/or Electronic Data Capture (EDC) systems (e.g., Medidata Rave, REDCap, Oracle InForm).
• In-depth knowledge of clinical processes, health data concepts, medical terminology, and GCP standards.
• Excellent written and verbal communication skills for cross-functional reporting and stakeholder training.
• Preferred Skills:
• Familiarity with statistical programming languages (SAS, R, or Python) and data visualization tools (Tableau, Power BI).
• Knowledge of CDISC data standards (SDTM/ADaM) and healthcare interoperability standards (HL7/FHIR).
• Basic understanding of clinical database programming or system validation logic.