Senior Manager, Scientific AI Engineer

Role: Scientific AI Engineer supporting Pfizer Oncology R&D by designing and building end-to-end AI/ML solutions to accelerate drug discovery, translational research, and clinical development. Responsibilities include developing advanced analytics for multimodal datasets (molecular, clinical, real-world), collaborating with scientists and clinicians to ensure scientifically grounded insights, and iterating prototypes swiftly based on feedback. Requirements: Bachelor's degree with 6+ years (or advanced degree with fewer years) in computational biology, data science, or related fields; strong programming (Python); experience applying AI/ML in life sciences or healthcare; understanding of Oncology biology and workflows. Preferred: experience in pharma/biotech startups, handling large heterogeneous datasets, and AI product prototyping. High-value: focus on Oncology (discovery through clinical), applied AI/ML, multimodal data, collaborative cross-functional environment. Work setup: unspecified location; likely remote/hybrid based on Pfizer policies.