The intersection of big biological data and computer power promises to change basic science and clinical practice in fundamental ways . To keep pace with the outpouring of big data , we must empower the next generation of students with skills that enable the analysis and maximal gain of this data . Big biological data science is an emerging discipline that requires interdisciplinary training in both biological/chemical sciences as well as computational sciences. The demand for bioinformaticians and data scientists is continually growing at a faster rate than what universities and degree granting programs can keep up with. Some reasons for this mismatch may be due to the fact that degree granting programs lag behind in the development of curriculums suited to this expanding field and that students, who are unaware of the field, are not given opportunities early enough in their training to explore big data careers. In the majority of cases, students are not exposed to biological data science until graduate school, which means that undergraduate students are not typically given exposure to this area of science. Earlier exposure to big biological data science would likely increase the number of researchers in the field and enhance the diversity in researcher backgrounds-both from an educational and a racial/socio-economic standpoint.