Which features are most important for K-means clusters (scikit-learn)?

Question

I generated clusters using Kmeans on some biological data, but while the clusters make sense, I would like to know which features were most important for the clustering. Is there a way to rank or score the contribution of a feature on clustering, either through a sci-kit learn method or other method?