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Role & Responsibilities
• Design and manage clinical databases for RWE and interventional studies
• Translate study protocols into structured data logic
• Develop and maintain data dictionaries, coding standards, and variable mappings
• Perform data cleaning, discrepancy management, and query resolution
• Execute SQL-based data validation across EDC, EHR, and repository systems
• Collaborate with data engineers and medical teams for ETL workflows
• Maintain documentation and ensure regulatory compliance
Qualification
• Bachelor’s in Life Sciences, Pharmacy (B.Pharm preferred), Biomedical Engineering, Computer Science, or related field
Experience
• 2–4 years in clinical data management or EDC setup
Skills
• CDISC, SDTM, CDASH knowledge
• ICD-10, MedDRA, SNOMED coding systems
• SQL, Medidata Rave, Oracle Clinical, REDCap
• Python/R, Power BI, Tableau (preferred)
About the Company
NeuroDiscovery AI is a health technology company leveraging AI-driven real-world evidence and clinical data analytics to advance precision medicine for neurological disorders including Autism, Alzheimer’s, Parkinson’s, and Migraine.