AI-Driven Oncology Portfolio Director

Pfizer

San Diego, Northern (CA, KY)

Hybrid

USD 177,000 - 294,000

Full time

3 days ago
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Benefits offered by this job

401(k) with Pfizer matching
Paid vacation
Health, dental and vision benefits
Paid parental leave

Job summary

Pfizer is seeking an AI-enabled Portfolio Lead to partner with Oncology Research Leadership, integrating AI/advanced analytics with oncology R&D to guide portfolio strategy.

You will analyze and continuously assess projects using predictive models, scenario simulations, and knowledge graphs, delivering data-driven recommendations to governance forums. This science-focused role spans discovery to preclinical stages and informs resource allocation.

Qualifications

  • PhD in a relevant scientific field with 5+ years using AI to solve drug discovery problems.
  • Experience working with AI/ML teams or implementing AI tools in R&D processes.
  • Strong ability to translate data models into decisions and present findings clearly.

Responsibilities

  • Analyze the oncology research portfolio using AI/ML to evaluate program strength and fit.
  • Develop data-driven portfolio strategies for projects and governance.
  • Integrate AI-derived insights into governance discussions and project team decisions.
  • Collaborate with discovery, translational, clinical, and strategy teams to synthesize cross-domain data into portfolio recommendations.

Skills

AI in R&D strategy
Portfolio management
Stakeholder influence
Cross-functional collaboration
Data-driven decision making

Education

PhD in Oncology/Computational Biology

Tools

ML tools

Job description

Pfizer is seeking an AI-enabled Portfolio Lead to partner with Oncology Research Leadership, integrating AI/advanced analytics with oncology R&D to guide portfolio strategy.

You will analyze and continuously assess projects using predictive models, scenario simulations, and knowledge graphs, delivering data-driven recommendations to governance forums. This science-focused role spans discovery to preclinical stages and informs resource allocation.

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