Senior Manager, Scientific AI Engineer

Role: Scientific AI Engineer supporting Pfizer Oncology R&D through design and implementation of AI/ML solutions. Objectives: translate biological, translational, and clinical questions into applied AI tools to optimize discovery, translational research, and clinical development processes. Responsibilities: develop end-to-end AI models using multimodal datasets (molecular, clinical, real-world); collaborate with scientists and clinicians to ensure scientific rigor and decision relevance; iterate prototypes rapidly based on feedback; document methods for transparency and responsible AI. Requirements: Bachelor's degree with 6+ years or advanced degrees (Master's/PhD) with relevant experience in computational biology, data science, or engineering; proven skills in applied AI/ML, Python programming, data pipelines, and ML frameworks; understanding of Oncology biology and clinical workflows. Preferred: experience in pharma, biotech, or health tech startups; familiarity with heterogeneous Oncology datasets and AI prototyping. HighValue: oncology (discovery, translational, clinical), AI/ML application, multimodal datasets, end-to-end solution ownership. WorkSetup: not specified, likely hybrid or remote; no travel specified.