Eric Moyer is a scientific programmer with 11 years of experience building robust, data-driven systems for biological research, currently serving as chief architect of the redesigned dbSNP at NCBI and working with TAJ Technologies. He specializes in designing large-scale archival, annotation, and presentation systems for genetic variation, translating complex biological data into accurate, accessible information. His background in computer science and mathematics (MS and BS) and long academic research tenure give him deep domain expertise in spectroscopy, NMR data interpretation, and scientific tooling. Eric combines hands-on systems engineering with a commitment to usability and reproducibility, having improved scientist workflows and data accessibility throughout his career. He also brings an unusual blend of technical tutoring, legacy-system modernization, and community-focused service from earlier roles, reflecting both practical engineering and people-oriented problem solving. Based in Washington, DC, he focuses on making high-quality scientific data convenient and trustworthy for diverse users.
11 years of coding experience
8 years of employment as a software developer
None, Theology and Religious Vocations, None, Theology and Religious Vocations at Full-Time Training In Anaheim
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Wright State University
The documentation repository for the dbGaP FHIR API.
Contributions:5 reviews, 6 PRs, 26 pushes in 3 years 4 months
fhir-apiapiphenotypesfhir
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