Senior Scientific AI Engineer, Oncology R&D

Pfizer; Bothell (WA); On-site; USD 139,000 - 232,000; Full time

Benefits offered by this job

Health benefits

401(k) with Pfizer matching

Paid time off

Job summary

Pfizer Oncology is seeking a Scientific AI Engineer to design and build end-to-end AI solutions that impact Oncology R&D decisions. You will partner with scientists and product leaders to prototype and deliver AI-enabled insights with scientific rigor and real-world usability.

The role emphasizes hands-on AI engineering, multidisciplinary collaboration, and responsible AI practices to translate complex biological questions into applied solutions.

Qualifications

• 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.
• Experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics environments.
• Strong hands-on programming skills (e.g., Python) and experience 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.

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.

Skills

Python

Data pipelines

ML frameworks

Oncology biology

Independent work

Stakeholder collaboration

Education

Advanced degree in computational biology / data science / ML

Job description

Pfizer Oncology is seeking a Scientific AI Engineer to design and build end-to-end AI solutions that impact Oncology R&D decisions. You will partner with scientists and product leaders to prototype and deliver AI-enabled insights with scientific rigor and real-world usability.

The role emphasizes hands-on AI engineering, multidisciplinary collaboration, and responsible AI practices to translate complex biological questions into applied solutions.