Summary
George Spracklin is a Senior Bioinformatics Engineer with nine years of experience translating complex genomics and epigenetics research into scalable computational pipelines for both academia and industry. He has driven discovery from bench to cloud—developing novel sequencing methods like Protect-seq, applying machine learning and polymer simulations to chromatin architecture at MIT, and delivering precision genomics workflows at Moderna and now Roche for the SBX platform. His toolkit spans Python, NGS, Hi-C/HiChIP, nanopore base-modification analysis, and cloud-native pipeline deployment, enabling rapid, reproducible analysis for clinical and research genomics. Colleagues describe him as equally comfortable designing wet-lab experiments and automating their analysis, with a habit of turning methodological inventiveness into practical, cost- and time-saving tools. Based in Boston, he combines rigorous PhD training in genetics with a track record of cross-disciplinary collaboration that uncovers unexpected biology in nuclear organization.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Genetics, Doctor of Philosophy (PhD) Genetics at University of Wisconsin-Madison
Bachelor of Science (BSc), Bachelor of Science (BSc) at Massachusetts College of Pharmacy and Health Sciences