Clinical Data Specialist

Company Description

Regal Intel is a 501(c)(3) non-profit research consortium dedicated to addressing diagnostic inequalities in healthcare by integrating advanced technology with clinical practice. Through innovative tools like Sovereign Neuro-Symbolic AI and Synthetic Patient Twins, Regal Intel converts fragmented Real-World Data into regulatory-grade clinical evidence, reducing diagnostic delays. We focus on rare, complex, and high-velocity diseases, leveraging cutting-edge data privacy methods like federated learning to ensure full data sovereignty. Based on our mission to improve patient outcomes, our work prioritizes clinical discovery over commercial gains. Join us in revolutionizing healthcare at www.regalintel.com.

Role Description

This is a consulting remote role for a Clinical Data Specialist. The specialist will be responsible for managing clinical data processes, including data collection and analysis. They will work with clinical teams to ensure accurate Electronic Data Capture (EDC), conduct data quality audits, and support data-driven decisions for advancing research projects. Collaboration with cross-functional teams to drive project goals and compliance with regulatory standards is a key aspect of this role.

Qualifications

• Experience with Clinical Data and Clinical Data Management, ensuring high standards of accuracy and organization
• Proficiency in Clinical Data Management and Data Analysis to identify trends and insights that support clinical outcomes
• Knowledge of Electronic Data Capture (EDC) systems for streamlined data entry and reporting
• Strong clinical, biology, disease-methodology, analytical and problem-solving skills with attention to detail
• Clinical experience and clinical pr biolology degree with advanced computing is a plus.
• Familiarity with healthcare data regulations (e.g., HIPAA, GDPR) is a plus
• Bachelor’s degree in Health Informatics, Data Science, or a related field
• Excellent communication skills and ability to work collaboratively in a remote environment
• Desirable: Experience with AI-driven patient health data solutions or federated learning models