Benjamin Fu

Benjamin Fu

Research Scientist, Oncology @ Bristol Myers Squibb

About Benjamin Fu

Benjamin Fu is a Research Scientist specializing in Oncology at Bristol Myers Squibb, with a background in epidemiology and extensive experience in omics data analysis.

Current Position at Bristol Myers Squibb

Benjamin Fu currently works at Bristol Myers Squibb as a Research Scientist specializing in Oncology. He began this role in January 2021 and has since been engaged in applying his expertise to ongoing research projects. This position leverages his extensive background in epidemiology and statistical methods, particularly as they pertain to omics data.

Harvard T.H. Chan School of Public Health Experience

Before joining Bristol Myers Squibb, Benjamin Fu served as a Research Fellow at Harvard T.H. Chan School of Public Health. His tenure from 2018 to 2021 allowed him to further hone his skills in epidemiological research. During this period, he focused on the application of statistical methods to analyze complex datasets in public health.

Academic Background in Epidemiology

Benjamin Fu has a robust educational background in epidemiology. He earned his Doctor of Philosophy (PhD) in Epidemiology from the University of Washington. Prior to this, he received his Master of Public Health (MPH) in Epidemiology from Columbia University in the City of New York. His foundational education includes a Bachelor of Arts (BA) in Biology from Washington University in St. Louis.

Experience at Seattle Children's and Fred Hutch

Benjamin Fu has accumulated valuable research experience through roles at notable institutions. He was a Research Intern at Seattle Children's from 2015 to 2018, where he gained hands-on experience in medical research. Additionally, he worked as a Predoctoral Fellow at Fred Hutch from 2013 to 2018, spending five years developing his research skills in a predoctoral capacity.

Expertise in Epidemiology and Data Analysis

Benjamin Fu specializes in applying epidemiologic and statistical methods to omics data. He is experienced in analyzing medical records and healthcare claims data using SAS and R. His analytic competencies have been an asset in various research settings, making significant contributions to the field of oncology research.

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