Nathan James is a Statistical Scientist with a decade of experience applying biostatistics to clinical trials, drug development, and regulatory science, currently at Berry Consultants. He earned a PhD from Vanderbilt and brings a rare mix of government (FDA ORISE Fellowship), academic, CRO, and industry experience that informs pragmatic, reproducible Bayesian approaches. Nathan’s background ranges from kidney transplant research at Johns Hopkins to trial design and analysis at The Emmes Corporation and BioStat Solutions, giving him deep domain knowledge across study types and stakeholders. He focuses on Bayesian inference and reproducible research practices, routinely translating complex methods into auditable decisions for drug development. Based in Pittsburgh, he maintains an active public profile (ntjames.com) that highlights both technical rigor and applied impact beyond typical biostat roles.
10 years of coding experience
Johns Hopkins University
BA, BA at Messiah University
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Vanderbilt University
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