One of the most frustrating problems that I’ve seen biotech data teams run into is building a model or an analysis capability, then watching it sit on the shelf, not getting used. Maybe you get a publication or a press release out of it, sometimes an internal presentation or two. But actual contributions to scientific progress are often much more elusive.
Getting stuck at proof-of-concept
Getting stuck at proof-of-concept
Getting stuck at proof-of-concept
One of the most frustrating problems that I’ve seen biotech data teams run into is building a model or an analysis capability, then watching it sit on the shelf, not getting used. Maybe you get a publication or a press release out of it, sometimes an internal presentation or two. But actual contributions to scientific progress are often much more elusive.