Senior Manager, Scientific AI Engineer

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered. We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. Req: 4956481.

This role sits at the intersection of deep scientific understanding and hands-on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions.

Key Responsibilities

• Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges
• Apply advanced analytical and ML methods to multimodal datasets (molecular, clinical, real-world, literature)
• Own solutions end-to-end, from problem framing and data exploration through model development and user-facing outputs
• Collaborate closely with domain experts to ensure solutions are scientifically grounded and decision-relevant
• Rapidly iterate on prototypes based on user feedback and evolving scientific needs
• Document methods, assumptions, and limitations to support transparency and responsible AI practices

Qualifications

• Bachelor's + 6 years, Master's + 5 years, or PhD + 1 year relevant experience
• Advanced degree in computational biology, data science, ML, engineering, or related field strongly preferred
• Demonstrated experience building applied AI/ML solutions in life sciences or healthcare
• Strong Python programming and experience with ML frameworks and data pipelines
• Solid understanding of Oncology biology, translational science, or clinical development workflows

Base Salary: $139,100 – $231,900 + 17.5% bonus target. New York, NY. Application deadline: June 21, 2026.