Slide 12/13 talk about how these areas are "devoid of Computer Scientists". In traditional areas like Biology and Chemistry, there is an acceptance that Computer Science is "not a science". They still view CS as IT (service / software). There are amazing broad applications of advanced computational techniques like Natural Language Processing, Probabilistic Learning Approach and Machine Learning within the space but if there's no acceptance of it, we will hinder progress.
For what it's worth, I've been working for a few years in CS + bio at the NIH, and while demand for CS as IT exists, there's also now a pretty strong and broad demand for computer scientists for scientific research. Between all of our institutes there must be a couple dozen labs with projects in the areas you mention. One of the biggest things holding us back is just finding enough people with a CS background and interest in bio problems! From what I gather at conferences, there's a lot of work being done by many groups in the CS/bio/biostatistics space, and likely more to come.