Trinh Pham
About Trinh Pham
Trinh Pham serves as the Associate Director of Biostatistics at Aimmune Therapeutics in Brisbane, California, a position he has held since 2017. He has extensive experience in biostatistics, having previously worked at Medivation and Pfizer in various roles.
Work at Aimmune Therapeutics
Trinh Pham has served as Associate Director of Biostatistics at Aimmune Therapeutics since 2017. In this role, Pham is responsible for overseeing biostatistical aspects of clinical trials and contributing to the development of therapies. Aimmune Therapeutics focuses on innovative treatments for food allergies, and Pham's expertise plays a critical role in the analysis and interpretation of clinical data.
Previous Experience in Biostatistics
Prior to joining Aimmune Therapeutics, Trinh Pham held several positions in biostatistics. Pham worked at Pfizer as a Biostatistics Manager from 2016 to 2017, where responsibilities included managing statistical analyses for clinical trials. Before that, Pham was a Biostatistics Manager at Medivation from 2015 to 2016. Pham's career at Medivation also included roles as a Senior Biostatistician from 2012 to 2015 and as a Consulting Biostatistician for a brief period in 2011.
Educational Background
Trinh Pham earned a Master of Science in Statistics from the University of California, Berkeley, completing the program from 2004 to 2006. Prior to this, Pham obtained a Bachelor of Applied Science in Economics and Mathematics from Mills College, studying from 2000 to 2004. This educational background provides a strong foundation in statistical methodologies and analytical techniques relevant to biostatistics.
Early Career and Data Analysis Experience
Trinh Pham began their career as a Data Analyst at the University of California, San Francisco, where they worked from 2006 to 2008. This role involved analyzing data to support research initiatives. The experience gained in this position contributed to Pham's subsequent roles in biostatistics, enhancing their analytical skills and understanding of data interpretation in a research context.