Data Solutions Coordinator

The Role

The Data Solutions Coordinator on the Regulatory Intelligence team at Redica Systems monitors global regulatory developments across 150+ countries. Responsibilities include identifying updates, assessing operational and strategic impact, determining industry scope, and ensuring accurate structured data entry in the regulatory intelligence platform. This role combines regulatory science, data structuring, and technology-enabled intelligence. Strong GxP knowledge, analytical judgment, and attention to detail are essential for this fast-paced, high-growth position.

Key Responsibilities

• Monitor global regulatory authorities (150+ countries) to identify relevant updates impacting Pharmaceutical, Biologics, MedTech, and Animal Health sectors.
• Evaluate regulatory developments to determine industry scope and operational or strategic impact, distinguishing actionable changes from high-volume informational updates.
• Classify and structure regulatory intelligence within the platform, including accurate industry and GxP tagging, metadata extraction (effective dates, consultation deadlines, enforcement timelines), and linkage of related regulatory documents.
• Maintain awareness of evolving global regulatory frameworks, identify emerging trends, and collaborate with internal teams to refine monitoring scope and classification logic.
• Ensure data accuracy and integrity through quality checks, KPI monitoring, and continuous improvement of regulatory intelligence workflows and structured data processes.

About You

• Communicates Effectively: Develops and delivers clear, concise communications across multiple platforms, ensuring accurate and timely sharing of regulatory intelligence insights, updates, and trends with teams and stakeholders.
• Decision Quality: Demonstrates the ability to make good and timely decisions in data operations. Understands the implications of various data choices.
• Optimizes Work Processes: Demonstrates the ability to enhance and streamline data processes. Seeks opportunities for data process improvement.
• Business Insight: Demonstrates the understanding of the business and uses this knowledge to inform data decisions.
• Tech Savvy: Demonstrates a basic understanding of current technologies used in data operations. Can effectively use these technologies in daily work and is open to adopting new ones.