Senior Manager, Scientific AI Engineer

Pfizer

. Design, develop, and prototype AI/ML solutions for Oncology discovery, translational, and clinical development challenges .

Posted 9/22/2026full-timeUnited 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 specifically for Oncology, leveraging advanced analytical methods and large datasets to drive insights for R&D decision-making. Proficient in collaborating with cross-functional teams and delivering prototypes that meet evolving scientific needs.

Highest-signal resume keywords

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

ATS Keywords

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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

CollaborationProblem-SolvingIndependent Operation

Industry Keywords

OncologyTranslational ScienceClinical DevelopmentLife SciencesHealthcare

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, develop, and prototype AI/ML solutions for 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 Oncology scientists, clinicians, product leaders, and domain experts
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
Deliver AI-enabled insights for Oncology 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 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
Permanent work authorization in the United States required
U.S. work visa sponsorship is not available now or in the future

Benefits

Comp & perks

Global Performance Plan bonus target of 17.5% of base salary
Share-based long-term incentive program eligibility
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Paid holidays and personal days
Paid caregiver/parental leave
Paid medical leave
Medical, prescription drug, dental, and vision coverage
Relocation assistance may be available based on business needs and/or eligibility