Jing Dai Email & Phone Number

Jing is a highly experienced Biostatistics and Data Science leader with comprehensive understanding of quantitative drug development and significant experience in clinical trial design, statistical analysis, epidemiological modeling, RWE, machine learning, Shiny app development, and regulatory submissions across a wide range of therapeutic areas including neuroscience and oncology. • Statistical expertise in regulatory submissions across clinical trial design, protocol/SAP/TFL development and review, data visualization and presentation, regulatory interactions, and quantitative decision making.• Expertise in utilizing machine learning techniques leveraging both internal trial data and RWD sources for pattern recognition, predictive modeling, and optimization, to inform future clinical trial designs.• Proven track record of Phase 1-4 clinical trial analysis and reporting, including ISS and ISE. • Demonstrated ability of developing and implementing complex data models to drive business insights. • Extensive experience in collaborative research with ability to provide in-depth statistical consulting across different fields and to bridge the communication gaps among disciplines.• Proficiency in statistical and data science software including SAS, R, OpenBUGS, Python, SPSS, STATA, EAST, nQuery Adviser, and FACTs.• Making active contributions to biostatistics and data science communities by volunteering for conference steering committees, chairing conference sessions, fostering collaboration among professionals, and participating in various initiatives.• Established record of authorship on scientific publications and conference abstracts and proceedings. • Excellent communication skills, can-do attitude, and strong commitment for integrity.

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  Penn State University

  Statistics And Agronomy