Key skills
PythonAIMachine LearningMLAnalytics
About this role
Role Overview
- 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.
Tech Stack
- Python
Benefits
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental leave
- Paid medical leave
- Health benefits including medical, prescription drug, dental and vision coverage