Principal Clinical Data Manager (Europe)

Location: Remote in Europe

Salary: $120,000–$140,000 USD annually

Company

hirify.global provides clinical data services and the elluminate Clinical Data Cloud to help life sciences organizations manage clinical trial data and analytics.

What you will do

• Represent hirify.global in sponsor data management interactions and ensure deliverables meet quality, scope, and timeline requirements.
• Provide subject matter expertise on clinical data management practices, technology, and solutions.
• Define study requirements covering protocol conversion, database builds, CRF design, data entry, verification, review, and query management.
• Define specifications and collaborate with technical teams to configure elluminate for data cleaning and oversight.
• Perform quality control on study documents, specifications, reports, deliverables, and elluminate modules.
• Analyze data trends, identify risks, develop mitigation strategies, and collaborate on process improvements and training.

Requirements

• Bachelor’s degree or higher in a relevant health science or scientific/technical discipline.
• 10+ years of experience in the pharmaceutical or biotechnology industry in clinical data management or an equivalent consulting role.
• Strong project management, team leadership, consulting, client relationship management, analytical, and strategic thinking skills.
• Excellent written and verbal English communication is required.
• Knowledge of ICH/GCP guidelines, 21 CFR Part 11, clinical trial methodology, EDC, and clinical data management systems.
• Proficiency in Microsoft Office, especially MS Project and MS Excel; exposure to CDISC guidelines and standards.

Nice to have

• CCDM certification.
• Experience with Agile, Six Sigma, RBQM, cloud SaaS platforms, Qlik, JReview, or Spotfire.
• Master’s degree in science.

Culture & Benefits

• Remote work within Europe.
• People-first, inclusive culture focused on diversity and individual contribution.
• Opportunities for learning, growth, and continuous improvement.
• Recognition for work-life balance and remote work practices.
• AI tools may be used to improve productivity and quality while protecting confidential information and maintaining professional accountability.