Senior Manager, Scientific AI Engineer

Pfizer

Scientific AI Engineer developing multimodal AI/ML solutions for Pfizer’s oncology drug-discovery and development programs. Translating biological and clinical questions into decision-ready prototypes.

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 designing and developing AI/ML solutions for Oncology, leveraging advanced analytical methods and multimodal datasets. Capable of collaborating with domain experts and delivering insights that support R&D decision-making.

Highest-signal resume keywords

AI/ML Solution DevelopmentPython ProgrammingOncology Biology KnowledgeData Pipeline ManagementExperience in Pharma or Biotech

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solution DevelopmentPython ProgrammingData Pipeline ManagementMachine Learning FrameworksPrototyping Approaches

Soft Skills

CollaborationIndependent Problem SolvingUser Feedback Iteration

Industry Keywords

OncologyTranslational ScienceClinical DevelopmentLife SciencesHealthcareAdvanced Analytics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges
Apply advanced analytical and machine learning methods to multimodal datasets, including molecular, clinical, real-world, and literature data
Own solutions end-to-end, from problem framing and data exploration through model development and user-facing outputs
Collaborate with domain experts to ensure solutions are scientifically grounded and decision relevant
Rapidly iterate on prototypes based on user feedback and evolving scientific needs
Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead
Document methods, assumptions, and limitations to support transparency and responsible AI practices
Partner with Oncology scientists, clinicians, and product leaders to deliver AI-enabled insights for R&D decision-making

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 computational biology, data science, machine learning, engineering, or related field strongly preferred
Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments
Strong hands-on programming skills, such as Python
Experience working with data pipelines and ML frameworks
Solid understanding of Oncology biology, translational science, or clinical development workflows
Ability to operate independently in ambiguous problem spaces and deliver working prototypes
Experience in pharma, biotech, or AI-driven health technology startups preferred
Familiarity with prototyping approaches for AI products rather than long-cycle production systems preferred
Experience working with large, heterogeneous datasets common to Oncology R&D preferred
Candidates must be authorized to be employed in the U.S. by any employer
U.S. work visa sponsorship is not available for this role now or in the future
This position requires permanent work authorization in the United States

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, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility