Isabelle Amick

Principal Data Scientist at Closed Loop

Isabelle Amick, PhD has a diverse work experience in data science, computational chemistry, informatics engineering, and pharmaceutical research. Isabelle has served as a Principal Data Scientist at ClosedLoop, where they created predictive models for patient outcomes and increased client revenue through successful relationships with key stakeholders. Prior to that, they worked as a Computational Chemist at PostEra, leading a drug discovery campaign for a SARS-CoV-2 antiviral target and optimizing medicinal chemistry workflows. Isabelle also worked as an Informatics Engineer at Astrix, acting as a Business Analyst for a large-scale application rollout at a pharmaceutical company. Additionally, Isabelle has experience as a Business Analyst at Zifo RnD Solutions, aiding in the implementation of a new LIMS system and providing training to scientists. Isabelle completed their PhD in Pharmaceutical Sciences at the University of North Carolina at Chapel Hill, where they conducted research in chemical biology and medicinal chemistry. Isabelle has also worked as a Research Assistant and Teaching Assistant at Johns Hopkins University and the Johns Hopkins School of Medicine, respectively.

Isabelle Amick, PhD, holds a Bachelor of Arts degree in Chemistry from The Johns Hopkins University, which they obtained from 2013 to 2017. Isabelle then pursued a Doctor of Philosophy (PhD) in Pharmaceutical Sciences at the University of North Carolina at Chapel Hill from 2017 to 2021. Their education history continued at the University of California, Berkeley, where they obtained a Master's degree in Information and Data Science from 2022 to 2023. In addition to their academic achievements, they have obtained certifications such as the Data Analyst Professional from DataCamp and the Introduction to the LIMS and Other Information Systems from the Centers for Disease Control and Prevention.

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Previous companies

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Zifo RnD Solutions logo
University of North Carolina at Chapel Hill logo

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Timeline

  • Principal Data Scientist

    December, 2023 - present

  • Data Scientist

    February, 2023