Exactly. I'd go further: in industry, the software is typically the end product, and the quality of the software is inherently relevant. In science, the output (the prediction of the simulation, the result of the analysis, etc.) is typically the end product, and the quality of the software is relevant only insofar as it affects the quality of the output.

In practice, of course, the quality of the software often does affect the quality of the output---but time spent on software quality creates less immediate value than it does in industry.