The Data Surveillance Analyst (DSA) provides leadership and expertise in all aspects of Data Surveillance and the set-up of support technologies, managing the delivery of all relevant data surveillance activities from Data Surveillance plan development and analysis tools setup through final Data Surveillance review.

• Act as PAREXEL’s Data Surveillance Analysis expert
• Participates in cross functional meetings
• Presents Data Surveillance Process and technologies demonstrations
• Provides DS Findings / CluePoints Analysis Presentations
• Has a thorough knowledge of and adept at using Parexel Data Driven Monitoring Tool, DS Application and CluePoints Central Monitoring Platform
• Supports the development of a robust Data Surveillance Plan, Key Risk Indicators, Quality Tolerance Limits and Data Surveillance technologies (Parexel Data Surveillance, CluePoints Statistical Analysis Platform, etc.)
• Reviews relevant data via the Data Surveillance application, CluePoints, DDM Application, and/or other relevant reports and systems
• Documents findings from Data Surveillance activities in the DS Findings & Actions Log, CluePoints Signals & Actions Tracker, and other systems as directed
• Participates in regular Data Surveillance meetings and communicate findings from various reviews to cross-functional leads on the project
• Works with Technology teams to identify potential solutions aligned with Parexel’s business and technology strategy.
• Identifies and evaluates potential data quality issues. Determines and implements appropriate follow-up action with the input of other / relevant parties and / or guidance provided, if applicable.
• Actively participates external or internal meetings and audits & regulatory inspections as required.
• Recognizes impact of study non-compliance/issues/delays/data quality signals and communicate/ promptly escalate to FL any site and/or study issues that require immediate action.

Qualifications

Skills:

• Excellent analytical and problem-solving skills
• Understand data structure, (SDTM) data mapping
• Understand fundamentals of statistical data analysis
• Basic SAS programming, preferred
• Strong oral and written communication skills
• Strong presentation skills
• Self-directed and ability to work independently in a virtual team environment
• Strong time management skills, with ability to effectively prioritize and manage multi-project workload
• Fluent in written and oral English

Knowledge and Experience:

• 2+ years of relevant statistical, health science, clinical, data management, or central monitoring experience, recommended

Education:

• Educated to a degree level (statistical, medical, clinical/health science, data management/analytics)