Kathy Reinold

Kathy Reinold

Lead, Data Modeling, Data Sciences Platform @ Broad

About Kathy Reinold

Kathy Reinold serves as the Lead for Data Modeling at the Data Sciences Platform at the Broad Institute of MIT and Harvard. She has a diverse background in data sciences and project management, with previous roles at several notable companies including AstraZeneca and Thermo Fisher Scientific.

Current Role at Broad Institute

Kathy Reinold serves as the Lead for Data Modeling within the Data Sciences Platform at the Broad Institute of MIT and Harvard. She has held this position since 2018, contributing to the development and implementation of data modeling strategies. Her work focuses on leveraging data science to enhance research initiatives at the institute, which is renowned for its contributions to genomics and biomedical research.

Previous Experience at Tessella Inc

Before her current role, Kathy Reinold worked as a Consultant at Tessella Inc from 2006 to 2010. During her four years there, she provided expertise in data analysis and project management, contributing to various client projects that required innovative data solutions.

Experience at AstraZeneca

Kathy Reinold was employed at AstraZeneca from 2014 to 2017 as a Solutions Delivery Leader. Based in Waltham, MA, she led initiatives to deliver data-driven solutions that supported the company's objectives in the pharmaceutical industry for three years.

Career at Thermo Fisher Scientific

From 2013 to 2014, Kathy Reinold worked as a Senior Project Manager at Thermo Fisher Scientific (Life Technologies) in Cambridge, MA. In this role, she managed projects that focused on advancing scientific technologies and ensuring successful project outcomes within the organization.

Education and Academic Background

Kathy Reinold has an extensive academic background. She earned a Master's Degree from Brandeis University and a Bachelor of Arts from Emmanuel College. Additionally, she achieved a Master of Science in Computer Science (MSCS) from Boston University, equipping her with a strong foundation in data science and analytics.

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