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# Senior Manager, AI, and Data Engineering

- **Company:** Pfizer Inc.
- **Location:** Bothell, WA, United States
- **Experience:** Expert
- **Salary:** $139,100.0 - $231,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bioinformatics, Cloud Database, Computational Biology, Computer Programming, Information Engineering, Machine Learning, Feature Engineering, Information Technology
- **Published:** August 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3354573404&tx=JT9991TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree and 6+ years of relevant work experience OR Master's degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computer science, machine learning, artificial intelligence, computational biology, bioinformatics, statistics, engineering, or a related quantitative or scientific field strongly preferred.
 * 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.

## Description

* 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.


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