Senior Manager, AI and Data Engineering

Pfizer

Senior Manager building AI, data pipelines, analytics, and ML tools for Pfizer’s oncology R&D workflows. Translating scientific and clinical needs into usable healthcare solutions.

Posted 8/12/2026full-timeNew York City • California, Massachusetts, New York, Washington • 🇺🇸 United StatesSenior💰 $139,100 - $231,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and prototyping AI-enabled solutions for Oncology R&D, with a strong focus on data pipelines, machine learning techniques, and collaboration with scientific teams. Proficient in modern data and ML tooling, with a solid background in healthcare technology and the ability to adapt solutions based on user feedback.

Highest-signal resume keywords

Machine Learning TechniquesData Pipeline DevelopmentHealthcare AnalyticsCollaboration SkillsCloud-Based Data Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringFeature EngineeringAnalytical ModelingProgramming SkillsPrototyping Solutions

Soft Skills

CollaborationCommunication

Tools & Technologies

Machine Learning ToolingCloud-Based Environments

Industry Keywords

Oncology R&DHealthcare DataLife SciencesHealth TechClinical Workflows

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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
Partner with scientific, clinical, and operational teams to develop data pipelines, analytics, and machine learning solutions that enhance Oncology R&D workflows

Requirements

What you’ll need

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 preferred
Background in healthcare technology companies or AI startups preferred
Exposure to cloud-based data and ML environments preferred
Candidates must be authorized to be employed in the U.S. by any employer
This position requires permanent work authorization in the United States
U.S. work visa sponsorship is not available for this role now or in the future

Benefits

Comp & perks

Participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary
Eligibility to participate in Pfizer’s share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Paid holiday and personal days
Paid caregiver/parental and medical leave
Medical coverage
Prescription drug coverage
Dental coverage
Vision coverage
Relocation assistance may be available based on business needs and/or eligibility