Dihui Zhang serves as a Statistical Programmer II at Brightech International, where she leverages her advanced knowledge in statistics, biostatistics, and analytics to drive impactful insights in clinical research. With a focus on therapeutic areas such as diabetes and oncology, Dihui plays a pivotal role...
Dihui Zhang serves as a Statistical Programmer II at Brightech International, where she leverages her advanced knowledge in statistics, biostatistics, and analytics to drive impactful insights in clinical research. With a focus on therapeutic areas such as diabetes and oncology, Dihui plays a pivotal role in the analysis and interpretation of complex clinical data, ensuring that findings are both accurate and actionable. Her expertise in CDISC SDTM and ADaM standards, as well as her familiarity with MedDRA, allows her to navigate regulatory requirements effectively, contributing to the integrity and compliance of clinical trials.
In her current role, Dihui is responsible for implementing statistical analysis plans and transforming data preparation and manipulation into robust SAS programs and macros. Her meticulous approach to maintaining documentation for SAS programs and validation results underscores her commitment to quality and transparency in data analysis. Dihui's proficiency in statistical data analysis is complemented by her skills in R and Python, enabling her to perform sophisticated simulations and data visualizations that enhance the interpretability of results.
Beyond her technical capabilities, Dihui's passion for orchestral music and her experience playing the violin reflect her dedication to precision and creativity, qualities that she brings to her statistical programming work. As she continues to develop SAS programs and macros to analyze clinical data, Dihui remains focused on delivering insights that not only meet the needs of her team but also contribute to advancing healthcare outcomes. Her blend of analytical skills and a strong foundation in mathematics positions her as a valuable asset in the field of clinical research.
