Gi Nell Elliott
About Gi Nell Elliott
Gi Nell Elliott is an Associate Director of Translational Data Science at Nimbus Therapeutics, with a background in bioinformatics and computational biology. She has previously held positions at Novartis Institutes for BioMedical Research and Foghorn Therapeutics, and earned her Ph.D. from Washington University School of Medicine.
Current Role at Nimbus Therapeutics
Gi Nell Elliott serves as the Associate Director of Translational Data Science at Nimbus Therapeutics. She has been in this position since 2024, contributing to the company's efforts in advancing drug discovery and development. Nimbus Therapeutics focuses on leveraging computational biology to design innovative therapeutics, and Elliott's role involves integrating data science methodologies to support translational research initiatives. The position is based in Boston, Massachusetts, and operates in a hybrid work environment.
Previous Experience at Novartis Institutes for BioMedical Research
Prior to her current role, Gi Nell Elliott worked at the Novartis Institutes for BioMedical Research (NIBR) as a Bioinformatics Investigator from 2015 to 2021. During her six years in this position, she was based in Cambridge, Massachusetts. At NIBR, Elliott focused on bioinformatics projects that supported various biomedical research initiatives, contributing to the development of novel therapeutic strategies.
Experience at Foghorn Therapeutics, Inc
Gi Nell Elliott held the position of Principal Scientist in Bioinformatics at Foghorn Therapeutics, Inc from 2021 to 2024. In this role, she was responsible for leading bioinformatics efforts and applying computational approaches to enhance the company's research capabilities. Her work contributed to the understanding of gene regulation and its implications for therapeutic development, while she continued to work in Cambridge, Massachusetts.
Education and Expertise in Bioinformatics
Gi Nell Elliott earned her Bachelor's Degree in Bioinformatics from St. Edward's University, where she studied from 2003 to 2007. She further advanced her education by obtaining a Doctor of Philosophy (Ph.D.) in Computational and Systems Biology from Washington University School of Medicine in St. Louis, completing her studies from 2008 to 2015. Her educational background provides a strong foundation in data science and computational methodologies, which she applies in her professional roles.