Biomedical research is becoming more complex with an ever-increasing volume of data (for example clinical data repositories, genomic or tissue data banks), the need to link data from disparate sources, and the increasing complexity of research design. Biostatistics and biostatisticians play a key role within biomedical research as a field of academic study concerned with development of the theory and methodology of data analysis and data science, and their sound application in medicine and health.
The continuing advancement of biomedical science is, of course, accompanied by the need to develop ever more sophisticated statistical methodology for managing, analyzing, and designing studies to collect the resulting data. This is illustrated by the explosion in so-called "big data" and complex data structure problems in areas such as genetics, genomics, neuroimaging, epidemiology, population ecology and many others. Thus, the skills of graduate-level biostatisticians, trained in techniques and research methods on the cutting edge of these scientific advances are in high, and increasing, demand.