Senior Manager, AI, and Data Engineering

Pfizer Oncology is building generalist, use case-driven AI solutions to accelerate cancer research and development. On this team, process, workflow, and data engineering are as critical as advanced science: you'll turn cutting-edge methods into reliable, reusable capabilities that scientific teams depend on.

Key Responsibilities

• Build prototypes and production AI solutions across a range of oncology research use cases
• Develop robust data pipelines and engineering workflows for scientific and healthcare data
• Apply machine learning techniques to complex healthcare and life-sciences datasets
• Collaborate closely with scientific teams to translate research needs into engineered solutions
• Rapidly prototype and iterate to demonstrate value

Required Qualifications

• Bachelor's degree with 6+ years of experience, or Master's with 5+ years, or PhD with 1+ years, in a relevant quantitative field
• Hands-on experience with healthcare and/or life-sciences data
• Strong programming skills and the ability to rapidly prototype

Preferred Qualifications

• Exposure to scientific/research workflows
• Experience working in cloud environments

Locations: New York, NY (primary); also La Jolla, CA; Cambridge, MA; and Bothell, WA.

Base salary range (U.S.): $139,100.00 - $231,900.00 annually.