Summary
Kyle Barrett is a Senior Data Science Engineer with eight years of experience building reproducible pharmacometrics and data science tooling, currently leading data science engineering at Metrum Research Group. He designs and maintains R packages and R Shiny applications for NONMEM model management, visualization, simulation, and regulatory submission workflows, and has a strong track record in PK/PD modeling and cloud validation. Kyle’s background spans industry and research—from PBPK modeling with mrgsolve and collaboration with CHOP to building clinical trial simulation tools for rare disease—highlighting his ability to translate domain science into robust software. He regularly trains colleagues in Git, R, and Shiny development and has driven internal platforms used for model development and submission. Based in Greater Philadelphia, he maintains an online portfolio and an active GitHub presence reflecting a pragmatic focus on reproducible research and deployable analytic apps. An under-the-radar strength is his blend of hands-on experimental lab experience and software engineering, giving him a rare cross-disciplinary perspective on translational pharmacology tools.
8 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Chemical Engineering, Bachelor’s Degree Chemical Engineering at Drexel University