Senior Manager, AI, and Data Engineering

Key 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; support production scaling with enterprise Digital teams as appropriate.
- Contribute to shared engineering standards, documentation, and best practices.

Basic Qualifications
- Bachelor’s degree and 6+ years’ relevant experience OR Master’s degree and 5+ years’ experience OR PhD and 1+ years’ experience. Advanced degree in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related quantitative/scientific field strongly preferred.
- 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.

Preferred Qualifications
- Experience working on research or clinical workflows.
- Background in healthcare technology companies or AI startups.
- Exposure to cloud-based data and ML environments.

Compensation & Benefits
- Annual base salary range: $139,100.00 to $231,900.00.
- Bonus target: 17.5% of base salary (Global Performance Plan) and eligibility for share-based long-term incentive.
- Benefits include 401(k) with Pfizer matching contributions, retirement savings contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.

Application Instructions
- Learn more at Pfizer Candidate Site – U.S. Benefits: uscandidates.mypfizerbenefits.com.