Eric Ma, PhD

Eric Ma, PhD

Author of nxviz Package | Principal Data Scientist at Moderna

Bio Coming Soon!

All Sessions by Eric Ma, PhD

Tutorial: Data Science in the Biotech/Pharma Research Organization

ML for Biotech and Pharma | All Levels

In this hands-off tutorial, I will provide a framework for thinking about, and hence organizing, data science in biotech and pharmaceutical research organizations. Together, we will cover: (1) what the core mission of a data science team should be, (2) the ways a data science team can deliver value to the research organization, (3) major classes of problems and methods, and (4) challenges that are unique to a data science organization in the _research_ space, as contrasted to clinical development, manufacturing, and commercial organizations. By the end of this session, data science leaders at biotech and pharma companies who attend this session will be equipped with frameworks for for thinking about data science problems in the biotech and pharma research space. Executives who are unfamiliar with the research space of data science problems will walk away with a broad, high-level overview of data science problems in research and how to frame and understand their value.

Tutorial: Data Science in the Biotech/Pharma Research Organization

ML for Biotech and Pharma | All Levels

In this hands-off tutorial, I will provide a framework for thinking about, and hence organizing, data science in biotech and pharmaceutical research organizations. Together, we will cover: (1) what the core mission of a data science team should be, (2) the ways a data science team can deliver value to the research organization, (3) major classes of problems and methods, and (4) challenges that are unique to a data science organization in the _research_ space, as contrasted to clinical development, manufacturing, and commercial organizations. By the end of this session, data science leaders at biotech and pharma companies who attend this session will be equipped with frameworks for for thinking about data science problems in the biotech and pharma research space. Executives who are unfamiliar with the research space of data science problems will walk away with a broad, high-level overview of data science problems in research and how to frame and understand their value.

Tutorial: Data Science in the Biotech/Pharma Research Organization

ML for Biotech and Pharma | All Levels

In this hands-off tutorial, I will provide a framework for thinking about, and hence organizing, data science in biotech and pharmaceutical research organizations. Together, we will cover: (1) what the core mission of a data science team should be, (2) the ways a data science team can deliver value to the research organization, (3) major classes of problems and methods, and (4) challenges that are unique to a data science organization in the _research_ space, as contrasted to clinical development, manufacturing, and commercial organizations. By the end of this session, data science leaders at biotech and pharma companies who attend this session will be equipped with frameworks for for thinking about data science problems in the biotech and pharma research space. Executives who are unfamiliar with the research space of data science problems will walk away with a broad, high-level overview of data science problems in research and how to frame and understand their value.

Tutorial: Data Science in the Biotech/Pharma Research Organization

ML for Biotech and Pharma | All Levels

In this hands-off tutorial, I will provide a framework for thinking about, and hence organizing, data science in biotech and pharmaceutical research organizations. Together, we will cover: (1) what the core mission of a data science team should be, (2) the ways a data science team can deliver value to the research organization, (3) major classes of problems and methods, and (4) challenges that are unique to a data science organization in the _research_ space, as contrasted to clinical development, manufacturing, and commercial organizations. By the end of this session, data science leaders at biotech and pharma companies who attend this session will be equipped with frameworks for for thinking about data science problems in the biotech and pharma research space. Executives who are unfamiliar with the research space of data science problems will walk away with a broad, high-level overview of data science problems in research and how to frame and understand their value.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

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