Breast cancer (BC) treatment has traditionally been challenging due to tumor heterogeneity. Bispecific antibodies (bsAbs) offer a promising approach for overcoming these challenges by targeting multiple specific epitopes. In the current study, we designed a new bsAb against the most common BC cell surface proteins (SPs). To achieve this, we analyzed RNA-sequencing data to identify differentially expressed genes, which were further evaluated using Gene Ontology enrichment, Hidden Markov Models, clinical trial data, and survival analysis to identify druggable gene-encoding cell SPs. Based on these analyses, we constructed and expressed a bsAb targeting the mucin 1 (MUC1) and epidermal growth factor receptor (EGFR) proteins, which are the dominant druggable gene-encoding cell SPs in BC. The recombinant anti-MUC1×EGFR bsAb demonstrated efficient production and high specificity for MUC1 and EGFR+ cell lines and BC tissue. Furthermore, the bsAb significantly reduced the proliferation and migration of BC cells. Our results suggested that simultaneous targeting with bsAbs could be a promising targeted therapy for improving the overall efficacy of BC treatment.