Grant collaboration among researchers and institutions has become increasingly common and essential for conducting effective scientific research. It is not uncommon for three or more researchers or institutions to collaborate on a single research grant, and a set of such grant collaborations can naturally be represented as a hypergraph. In this study, we explore community structure in grant collaboration hypergraphs using a framework that combines a stochastic block model with a dimensionality reduction method. Our results suggest that while grant collaborations among institutions do not induce a strong community structure, those among pairs of institutions and research disciplines of principal investigators do exhibit a pronounced community structure.