Summary
John Mendieta is a computational biologist with 11 years of hands-on experience applying NGS and genomics workflows to both academic and industry problems, currently contributing to Inari from Greater Boston. He has led genome assembly and annotation efforts, developed custom bioinformatics software and pipelines in Python/R/shell, and built novel algorithms and data-quality resources for large datasets (400+ Gb) used across research teams. His work spans deciphering cis/trans regulatory roles to designing methods for detecting parallel evolution, with several projects progressing toward publication. Adaptable by nature, he translates cutting-edge genomic methods into practical solutions that drive scientific insight and product impact. Less obvious: he routinely serves as an on-call computational consultant for diverse research groups, turning bespoke research questions into reproducible, production-ready analyses.
11 years of coding experience
1 year of employment as a software developer
University of Georgia
Bachelor’s Degree, Molecular Biology, Bachelor’s Degree, Molecular Biology at University of Colorado Boulder