James Macdonald is a biostatistician with 20 years of experience specializing in high-throughput and OMICs data analysis, including RNA-Seq, DNA-Seq, ChIP-Seq, methylation, proteomics, and metabolomics. Based in Ann Arbor, he has spent over a decade as a core contributor to Bioconductor, developing and deploying R-based tools that enable reproducible, cutting-edge analyses for the genomics community. He combines deep statistical training (Master’s in Biostatistics, Univ. of Michigan) with hands-on computational skills in R, Perl, and Linux command-line workflows required for modern sequencing pipelines. His background in microbiology gives him practical domain insight when translating experimental design into robust analytical strategies. At academic centers including the University of Michigan and University of Washington, he has supported diverse projects from immunoassays to mass-spec, consistently bridging method development and applied analysis. Colleagues rely on him for reproducible, production-ready pipelines that handle complex, heterogeneous biological datasets.
21 years of coding experience
Master's degree, Biostatistics, Master's degree, Biostatistics at University of Michigan
Bachelor of Science (BS), Microbiology, Bachelor of Science (BS), Microbiology at Colorado State University
Contributions:53 pushes, 8 branches, 1 comment in 8 years 2 months
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