Despite unprecedented opportunities at the convergence of artificial intelligence (AI) and cancer research, few scientists possess fluency in both domains. We propose a six-principle framework for training "AI-oncology bilingual" scientists who can bridge this gap and translate AI-driven discoveries into improved patient outcomes.