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Clinical Data Management Analyst
About The Role
We are seeking a highly motivated Clinical Data Management Analyst with hands-on experience in clinical databases and clinical trial data management. This role bridges clinical understanding with data operations — responsible for ensuring data integrity, accuracy, and readiness for analysis in both interventional and real-world evidence (RWE) studies. The ideal candidate will combine a strong foundation in clinical trial data structures, database design, and data validation with the ability to translate complex study protocols into structured, query-ready data models.
Key Responsibilities
- Design, standardize, and manage clinical databases supporting RWE and clinical research studies.
- Interpret study protocols and convert inclusion, exclusion criteria into structured data logic for cohort identification.
- Develop and maintain data dictionaries, variable mappings, and clinical terminology standards (ICD, MedDRA, ATC, LOINC, etc.).
- Support clinical data management activities, including data cleaning, discrepancy review, and query resolution.
Qualifications And Skills
- Bachelor’s degree in Life Sciences, Pharmacy, Biomedical Engineering, Computer Science, or related discipline (B.Pharm preferred).
- 2–4 years of experience in clinical database management, EDC setup, or clinical trial data management.
- Working knowledge of clinical data standards (CDISC, SDTM, CDASH) and clinical coding systems (ICD-9,10, MedDRA, SNOMED).
- Proficiency in SQL for data querying, joins, and validation within relational database environments.
- Strong understanding of clinical study design, protocol elements, and data flow from source to analysis.
- Demonstrated ability to document data workflows, maintain audit trails, and ensure regulatory compliance in data handling.
- Excellent analytical, problem-solving, and communication skills.
Preferred Experience
- Hands-on experience with EDC systems (Medidata Rave, Oracle Clinical, REDCap, or equivalent).
- Exposure to EHR, claims, or registry databases and data integration for RWE studies.
- Familiarity with AI,LLM-based tools for data extraction, mapping, or clinical text parsing.
- Basic scripting or visualization skills (Python, R, Power BI, or Tableau) are a plus.
Why Join Us
Be part of a team modernizing clinical data management and real-world research using advanced analytics and AI. Build and manage scalable clinical databases that accelerate discovery and patient enrollment. Work cross-functionally with clinicians, data scientists, and engineers to drive data-driven clinical insights.
