Lan Tran La
About Lan Tran La
Lan Tran La is a Senior Principal Scientist specializing in Statistical Programming and Analysis at Erasca, Inc., where he has worked since 2021. He has held various roles in the field, including positions at BioMarin, Medivation, and Nektar Therapeutics, and holds a Bachelor of Arts in Applied Math from the University of California, Berkeley.
Current Role at Erasca
Lan Tran La serves as a Senior Principal Scientist in Statistical Programming and Analysis at Erasca, Inc. since 2021. In this role, she focuses on statistical methodologies and programming to support clinical trials and data analysis. Her work contributes to the development of innovative therapies in the biotechnology sector. She operates in the San Francisco Bay Area, a hub for biopharmaceutical research and development.
Previous Experience at Nektar Therapeutics
Prior to her current position, Lan Tran La worked at Nektar Therapeutics as Associate Director of Statistical Programming from 2018 to 2021. During her tenure, she was responsible for overseeing statistical programming activities and ensuring the integrity of data analysis for clinical studies. This role further solidified her expertise in statistical methodologies within the biopharmaceutical industry.
Experience at Medivation
Lan Tran La held the position of Associate Director of Statistical Programming at Medivation from 2012 to 2016. In this capacity, she managed statistical programming efforts and collaborated with cross-functional teams to support clinical development projects. Her experience at Medivation contributed to her professional growth in statistical analysis and programming.
Early Career at BioMarin
Lan Tran La began her career in statistical programming at BioMarin, where she worked as a SAS Contract Programmer from 2008 to 2010. This role provided her with foundational experience in statistical programming and analysis, which she built upon in subsequent positions within the industry.
Education and Expertise
Lan Tran La earned her Bachelor of Arts degree in Applied Mathematics from the University of California, Berkeley. Her educational background provides a strong foundation for her work in statistical programming and analysis, equipping her with the necessary skills to excel in her roles within the biopharmaceutical sector.