Maybe he can help fix the process rather than provide some spectacular singular breakthrough. A common complaint I heard (from the outside, I do not work in biology) is that a large portion of scientists' productive time at many university labs is spent on finding funding.
For example, if he establishes some initial funding streams and keeps it open long enough to see commercial benefits (10+ years) and uses those to transition this setup to self sufficiency (as opposed to a few unicorns spinning off), he could have a major long term impact.
How much impact does DE Shaw Research have? I think that would be the most direct point of comparison.
I'm not asking this rhetorically—I'm curious but also don't have much experience to bioinformatics.
He prefers problems that aren't hopelessly complicated, but I suspect this is exactly where computational biology falls into if you don't have the ability to perform causal experiments. And wet lab experiments aren't being funded by the Flatiron.