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. 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.

In this role 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.

Key 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.

Basic Qualifications

• Bachelors degree and 6 years of relevant work experience OR Masters 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.
  

The annual base salary for this position ranges from $139100.00 to $231900.00. In addition this position is eligible for participation in Pfizers 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. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of lifes moments. Benefits offered include a 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 and health benefits to include medical prescription drug dental and vision coverage. Learn more at Pfizer Candidate Site U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply your Talent Advisor will share the local pay information with you during the first interview.

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

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future.

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.

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