ELLIOTT LIGHT

Clinical Data Scientist

Education & Certifications

  • Master of Science in Data Analytics - Western Governors University

  • Bachelor of Science in Mathematics - Bemidji State University

  • SAS Certified Base Programmer for SAS 9

  • SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling

  • Biotechnology Aptitude and Competency Exam Certification (BACE)

Industry Experience

  • Cross-Departmental Support - Allied Health, Nursing, Business, Technology, English, Mathematics, Social Services, and Arts

  • Multi-Campus Analysis - Managing data across geographically dispersed locations

  • Senior-Level Coordination - Research and reporting leadership experience

  • Strategic Planning Support - Providing data-driven insights for decision-making

Soft Skills & Attributes

  • Innovation & Problem-Solving - Creative approaches to complex data challenges

  • Leadership & Collaboration - Praised for tenacity and ability to lead effectively

  • Adaptability - Versatile expertise across multiple industries and disciplines

  • Commitment to Excellence - Focus on accuracy and high-quality deliverables

  • Mathematical Passion - Dedicated to leveraging data for meaningful change

  • 3rd Degree Black Belt - Demonstrates discipline and continuous improvement mindset

  • Published research: "A Note on Adaptive Box-Cox Transformation Parameter in Linear Regression"

Picture of Elliott
Picture of Elliott

I am a clinical data analyst with a Master of Science in Data Analytics and a passion for transforming complex clinical trial data into clear, actionable insights. With deep expertise in advanced statistical programming (R, Python, SAS) and proven experience in data management across multiple departments. I understand the unique challenges that clinical researchers face, from underpowered studies to data quality issues and regulatory compliance complexities. My background combines rigorous mathematical training with real-world clinical analytics, enabling me to deliver solutions that drive efficiency without compromising scientific integrity.