Yongcun Zhang currently serves as a Sr. Principal Analyst in Statistical Programming & Analysis at Genentech Inc., where he leverages over 16 years of extensive experience in Data & Statistical Sciences. In his current role, Yongcun is at the forefront of leading the global filing...
Yongcun Zhang currently serves as a Sr. Principal Analyst in Statistical Programming & Analysis at Genentech Inc., where he leverages over 16 years of extensive experience in Data & Statistical Sciences. In his current role, Yongcun is at the forefront of leading the global filing for the adjuvant therapy Tecentriq in non-small cell lung cancer (NSCLC), a critical project that underscores his expertise in clinical trial statistical analysis and biostatistics. His leadership in this high-stakes initiative not only highlights his proficiency in managing complex datasets but also demonstrates his ability to collaborate effectively with cross-functional teams, including biostatisticians, clinical data managers, and safety scientists.
Yongcun has a proven track record of managing both early-phase oncology and late-phase hematology portfolios, ensuring that statistical programming aligns with regulatory requirements and Good Clinical Practice (GCP) standards. His role extends beyond statistical analysis; he has also taken on responsibilities in workforce management, optimizing the integration of external resources to enhance project efficiency. His comprehensive skill set encompasses database design, data analysis, and a deep understanding of clinical trials, making him a pivotal figure in advancing Genentech's innovative therapies.
With a commitment to excellence in biotechnology and a passion for driving impactful clinical research, Yongcun Zhang continues to contribute significantly to Genentech's mission of transforming patient care through groundbreaking therapies. His ability to navigate the complexities of clinical trial landscapes while fostering collaboration among diverse teams positions him as a leader in the field of statistical programming and analysis.
