Data Management Specialist - Home Based Bulgaria

📋 Description

• • Manage complex data processes including bulk data mapping, enrichment, and cleansing activities to ensure accurate and usable datasets for clinical trials.
• • Conduct comprehensive data quality checks across multiple sources, identify anomalies, and implement resolutions to maintain high standards of data integrity.
• • Coordinate closely with IT, data governance, and data management teams to align data workflows with project requirements and regulatory standards.
• • Track, monitor, and report on key performance indicators (KPIs) related to data operations and service delivery to support continuous improvement.
• • Ensure all data management activities comply with client-specific and regulatory requirements, including support for invoicing processes tied to data deliverables.
• • Work within a global life sciences environment supporting drug development and commercialization initiatives for clients across the EU and beyond.
• • Collaborate with cross-functional teams to translate clinical data needs into operational workflows and resolve systemic data issues efficiently.
• • Maintain documentation of data processes, changes, and resolutions to support audit readiness and knowledge transfer.
• • Participate in client-facing communications as needed to clarify data requirements, report on progress, and address concerns promptly.
• • Adapt to evolving project demands and regulatory updates in clinical data management while maintaining consistent service quality.
• • Support the end-to-end data lifecycle from collection through validation, ensuring alignment with sponsor expectations and industry best practices.
• • Contribute to team initiatives focused on improving data efficiency, reducing errors, and enhancing overall operational performance.
• • Remain current on evolving data standards and therapeutic area trends relevant to life sciences clinical trials.
• • Demonstrate strong organizational skills to manage multiple concurrent projects with competing priorities and deadlines.
• • Apply problem-solving skills to troubleshoot data discrepancies and propose sustainable solutions that prevent recurrence.
• • Maintain strict confidentiality and adherence to data privacy regulations applicable to clinical trial data.
• • Engage in ongoing professional development through company-provided training programs in technical and therapeutic domains.
• • Represent Syneos Health with professionalism in all internal and external interactions, upholding the company’s purpose of being Driven to Deliver.