Surai Jones

About Surai Jones

Details on Scientific Contribution:Statistician with extensive experience (15+) in the full life cycle of drug developmentProven track record of advancing compounds from dose escalation to NDA filing, Supported trials that led to FDA approvals in DBLCL and CLL.Expertise in oncology (hematology & solid tumors), cardiology, mental health, biomarkers Skilled in QC of SDTM/ADaM/TFLs/filing documentsExtensive publication history with over 25 articles in high-impact journals. Solid management experience, with a focus on optimizing team performance, CRO-sponsor partnerships and driving operational efficiency to achieve clinical milestones.My career merges strategic leadership with deep clinical trials expertise. With over 2 decades of experience in the drug development and medical device industry, I am honored to have led/contributed to teams in the advancement of cardiovascular disease, breast cancer, prostate cancer, Non-Hodgkin\'s Lymphoma, PSTD, veteran health, women\'s health and robotic surgical systems. I have a proven track record of delivering creative solutions for broad range of scientific and business needs.An authentic and insightful leader, I have been recognized by peers and employees for creating a high level of trust and engagement, facilitating improved performance and increased efficiency. My work involves crafting high-performing teams that deliver reliable results, ensuring both high-quality outcomes and measurable business impact.Sought after for my combination of analytical talent and robust business acumen, I enjoy creating opportunities for growth (established QC service from scratch, tripled revenue in 2 years) and helping others in their professional development goals.

Experience

1. Director

   AbbVie

   May 2025 — Present · US

Education

• Medical College of Virginia

  Ph.D. Candidate, MS graduate, Biostatistics

• Salisbury University

  Honors Program (course work in creative thinking, philosophy, literature) , Bachelor of Science, Math with Stats Concentration, Biology

• Stanford University

  Fundamentals of Machine Learning for Healthcare Stanford University

Skills

• Data Management
• R
• Clinical Trials
• Statistical Programming
• Sas Programming
• Clinical Data Management
• Fda
• Sas Base
• Gcp
• Medical Devices
• Clinical Research
• Statistics
• Data Analysis
• Clinical Study Design
• Strategic Planning
• Spss
• Clinical Development
• Biostatistics
• Sas
• Medical Statistics