P
Posted 21 days ago
Director, Oncology AI Product & Engineering Lead
PfizerDirector, Oncology AI Product & Engineering Lead
Perks & benefits
CommissionHealth InsurancePaid LeaveRelocation Allowance
Requirements
PhD in CS, ML, Data Science, or related field with 5+ years experience, Master's in CS, ML, Data Science, or related field with 7+ years experience, Experience leading AI products in pharma, biotech, or healthcare tech, Understanding of Oncology R&D workflows, Technical fluency in AI/ML approaches
Skills
AIMachine LearningProduct Management
About the role
Responsibilities
- Own the Oncology AI product strategy and roadmap across discovery, translational science, clinical development, and real-world evidence
- Lead and manage a cross-functional team of AI engineers, providing technical direction, prioritization, and coaching
- Translate complex scientific and operational problems into clear AI product requirements, success metrics, and delivery plans
- Partner with Oncology scientific leaders, clinical teams, Digital, Enterprise AI, and IT to ensure solutions are aligned with enterprise platforms
- Evaluate AI concepts, prototypes, and technical approaches to provide informed guidance and trade-off decisions
- Assess Oncology workflows to identify and propose opportunities for automation and process improvements
- Drive stakeholder engagement, change management, and adoption to ensure AI solutions move beyond pilots to sustained impact
Requirements
- PhD in Computer Science, Machine Learning, Data Science, or related field with 5+ years of applied analytical experience
- OR Master’s in Computer Science, Machine Learning, Data Science, or related field with 7+ years of applied analytical experience
- Demonstrated impact leading AI-enabled products, platforms, or analytics solutions in pharma, biotech, healthcare technology, or AI startups
- Strong understanding of Oncology R&D workflows and the role of data and AI in scientific and clinical decision making
- Proven ability to lead multidisciplinary technical teams in a matrixed environment
- High technical fluency to effectively evaluate AI/ML approaches without hands-on development
Preferred Qualifications
- Experience operating at the intersection of science, product management, and engineering
- Familiarity with AI/ML concepts including data pipelines, model development, and prototyping workflows
- Experience scaling AI solutions in large, regulated organizations
Benefits
- Competitive annual base salary and performance-based bonus target
- 401(k) plan with Pfizer Matching Contributions and additional retirement savings contributions
- Comprehensive health benefits including medical, prescription drug, dental, and vision coverage
- Paid vacation, holidays, personal days, and paid caregiver/parental leave
About the Company
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 looking for new talent to join our global community to unearth innovative therapies that make the world a healthier place.
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Get started — it's freeDirector, Oncology AI Product & Engineering Lead
Pfizer · New York City
