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Precision medicine is founded on the premise of individualized medical decisions, practices, and treatments tailored to the unique genetic, epigenetic, proteomic, and clinical profiles of patients. Powered by next-generation sequencing technologies, the past five years have seen a burgeoning of patient data; just one of Illumina’s NovaSeq machines, running two to three times a week, could conceivably generate a half trillion bases of sequencing data per year.
Yet for all the data science can produce, it is sorely lacking in the brainpower to analyze the information so it can be put to use. In particular, what are missing are master’s-level scientists who could fill the massive skills gap that limits the field’s ability to make new biomedical discoveries and translate them from the laboratory to ...
