Summary
Scott Daniel is a bioinformatics scientist with 11 years of experience translating complex microbiome and sequencing data into publishable insights, currently leading analyses at the Children’s Hospital of Philadelphia. He designs scalable pipelines and custom scripts (Python, Perl, R) to analyze 16S, shotgun metagenomics, ITS and metatranscriptomic datasets across multiple hosts and tissues, and authors statistical reports that feed directly into manuscripts. A PhD-trained molecular biologist with a practical IT background, he bridges computational rigor and hands-on systems know-how—having built databases, administered servers, and provided desktop support earlier in his career. He mentors junior scientists, develops new tools to expand analytical repertoires, and has a track record of mapping hundreds of millions of reads for high-throughput studies. Colleagues rely on him to make complex genomic results accessible to diverse stakeholders while driving reproducible, well-documented workflows.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Psychology, Bachelor of Arts (B.A.), Psychology at University of California, Berkeley
The University of Arizona
H.S. Diploma, General Studies, H.S. Diploma, General Studies at Aliso Niguel High School
German