Clinical Data Analyst - REMOTE ROLE

Are you a detail-oriented data enthusiast ready to make a tangible impact on global healthcare outcomes? Radiant System, Inc. is seeking a motivated Clinical Data Analyst to join our high-performing Data & Analytics team in a fully remote capacity. This is an exceptional opportunity for an early-career professional to sharpen their technical expertise while working at the intersection of clinical research and cutting-edge technology. You will play a pivotal role in ensuring the integrity of our clinical trial data, transforming raw inputs into life-changing insights that drive our mission forward.

In this role, you will be the guardian of our clinical data, utilizing your hands-on experience with Medidata Rave and Electronic Data Capture (EDC) systems to streamline complex workflows. You will dive deep into data validation, query management, and the design of eCRFs and edit checks, ensuring every data point meets the highest standards of accuracy and compliance. Whether you are conducting rigorous UAT testing or contributing to the development of Data Management Plans and SOPs, you will be supported by a collaborative team that values precision, proactive communication, and a passion for continuous improvement.

To thrive at Radiant System, Inc., you should hold a Bachelor’s degree and bring at least two years of focused experience in clinical data management. We are looking for a tech-savvy problem solver who is comfortable navigating Microsoft Office tools and thrives in a remote, self-directed environment. If you are eager to elevate your career within a company that prioritizes innovation and professional growth, we invite you to bring your analytical mindset and dedication to excellence to our team. Join us and help shape the future of clinical research from the comfort of your own home.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.