Senior Manager, Scientific AI Engineer

Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients.

About the role

We are seeking a Scientific AI Engineer to design and build end-to-end AI solutions that directly impact Oncology R&D decision-making. This role sits at the intersection of deep scientific understanding and hands-on AI engineering, translating complex biological, translational, and clinical questions into applied AI solutions. You will partner closely with Oncology scientists, clinicians, and product leaders to prototype, iterate, and deliver AI-enabled insights, with a strong emphasis on speed, scientific rigor, and real-world usability.

Responsibilities

• 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 (e.g., molecular, clinical, real-world, literature).
• Own solutions end-to-end, from problem framing and data exploration through model development and user-facing outputs.
• Collaborate closely 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.

Requirements

• 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 (e.g., Python) and 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.

Preferred Qualifications

• Experience in pharma, biotech, or AI-driven health technology startups.
• Familiarity with prototyping approaches for AI products rather than long-cycle production systems.
• Experience working with large, heterogeneous datasets common to Oncology R&D.

Pay

The annual base salary for this position ranges from $139,100 to $231,900. This position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share-based long-term incentive program.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution.
• Paid vacation, holiday, and personal days.
• Paid caregiver/parental and medical leave.
• Health benefits including medical, prescription drug, dental, and vision coverage.

Relocation assistance may be available based on business needs and/or eligibility.