Clinical Data Senior Specialist

🏢 Abu Dhabi Government
📍 Abu Dhabi, United Arab EmiratesFull-timeOn-site
📅 Posted: 3w ago🔄 Updated: 3w ago
CV%
✨ AI Summary
The Clinical Research Data Senior Specialist will manage and oversee all aspects of clinical research data management for assigned studies within the College of Medicine and Health Sciences, from study initiation to database lock. This role involves serving as the main point of contact for data management activities, including the design, implementation, validation, and maintenance of electronic data capture systems, with a strong emphasis on REDCap. The position also ensures high-quality data delivery, regulatory compliance, and efficient study execution, while contributing to SOP development, training initiatives, and supporting audits and inspections.
Required Skills
Other
○REDCap○ICH-GCP○21 CFR Part 11
Engineering, Construction & Trades
○MEP Systems
Information Technology
○Data Management○GCP
Nice to have:
Engineering, Construction & Trades
○PLC Programming
Other
○REDCap system configuration○electronic databases
Hospitality, Retail & Customer Service
○Collections
Business, Sales & Management
○Business Development
Requirements
Requires a Master's degree in a life science, health science, computer science, or related discipline. A minimum of 7 years of experience is needed, with at least 4 years specifically in clinical research data management. A PhD in a related field is desirable. Proficiency with REDCap and electronic data capture systems is essential.
Description

Clinical Research Data Senior Specialist is responsible to manage and oversee end-to-end clinical 
research data management activities for assigned studies within the College of Medicine and Health 
Sciences, from study start-up through database lock.

The role serves as the primary point of contact for all study-related data management functions, 
including the design, implementation, validation, and maintenance of electronic data capture systems, particularly REDCap.  

The position is also responsible for ensuring high-quality data delivery, effective quality control and 
assurance, regulatory compliance, and efficient study execution, while supporting the development of 
standard operating procedures, data collection tools, electronic databases, QC reports, and training 
initiatives for internal teams, faculty, and collaborators. 

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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00