Senior Manager, AI, and Data Engineering

Responsibilities

• Build and prototype AI enabled solutions supporting Oncology R&D workflows and decision making.
• Develop and maintain data pipelines, feature engineering workflows, and analytical models.
• Apply machine learning techniques to structured and unstructured healthcare data.
• Collaborate with scientific and product partners to understand needs and deliver usable tools.
• Focus on speed, iteration, and usability, with production scaling supported by enterprise Digital teams as appropriate.
• Contribute to shared engineering standards, documentation, and best practices.

Requirements

• Demonstrated hands‑on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
• Strong programming skills and experience with modern data and ML tooling.
• Ability to rapidly prototype and adapt solutions based on feedback.
• Strong collaboration and communication skills.
• Experience working on research or clinical workflows.
• Background in healthcare technology companies or AI startups.
• Exposure to cloud‑based data and ML environments.
• Additional Information
• Last day to apply June 21, 2026
• This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.
• Relocation assistance may be available based on business needs and/or eligibility.
• Candidates must be authorized to be employed in the U.S. by any employer.
• U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
• Sunshine Act
• EEO & Employment Eligibility
• Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without

Benefits

Additional Information

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 to patients. We are seeking AI & Data Engineers to focus on generalist, use case driven AI solutions where process, workflow, and data engineering are as critical as advanced science. This role is ideal for engineers who thrive in rapid prototyping environments and enjoy translating real-world problems into practical, AI enabled tools. In this role, you will partner with scientific, clinical, and operational teams to develop data pipelines, analytics, and machine learning solutions that enhance the effectiveness of Oncology R&D workflows.

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