This quantitative study (n = 247) explores whether preservice science teachers express science-specific identities that reflect multiple areas of their beliefs (e.g., purpose for science teaching, inclusion of science-technology-society-environment issues into science teaching, and nature of science) as well as other individual characteristics (e.g., focus of university training, perception of self within professional communities, and interest in becoming a teacher). Hierarchical cluster analysis showed a three-cluster solution representing three subject-specific identities: Model Citizen, Model Science Teacher, and Model Non-Science Teacher. Additional analysis (multinomial logistic regression) revealed cluster membership associated with preservice science teachers' most comfortable teaching subject. (Contains 4 tables, 2 figures, and 1 note.)