Unknown Company

Director, Oncology AI Product & Engineering Lead

san diego, ca • Posted 3 weeks ago
Onsite Full Time Manufacturing & Production

Key Responsibilities:

  • Own 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 (technical direction, prioritization, coaching).
  • Translate complex scientific and operational problems into AI product requirements, success metrics, and delivery plans.
  • Partner with Oncology, clinical, Digital, Enterprise AI, and IT stakeholders to align solutions with enterprise platforms and governance.
  • Evaluate AI concepts, prototypes, and technical approaches; guide trade-off decisions.
  • Assess Oncology workflows to identify opportunities for automation and process improvements.
  • Drive stakeholder engagement, change management, and adoption beyond pilots to sustained impact.
  • Establish lightweight governance, delivery standards, and value tracking.
  • Represent Oncology AI initiatives in leadership and cross-enterprise forums.

Basic Qualifications:

  • PhD (or Master’s) in CS/ML/Data Science/Software Engineering/AI (or related) plus 5+ (or 7+) years applied analytical experience impacting operations, automation, business analytics, or decision support.
  • Demonstrated impact leading AI-enabled products/platforms/analytics in pharma/biotech/healthcare tech/AI startups.
  • Strong understanding of Oncology R&D workflows and the role of data/AI in scientific/clinical decision-making.
  • Proven ability to lead multidisciplinary technical teams in a matrixed environment.
  • High technical fluency to evaluate AI/ML approaches without hands‑on development.
  • Excellent communication and stakeholder management.

Preferred Qualifications:

  • Intersection experience of science, product management, and engineering.
  • Familiarity with AI/ML concepts (data pipelines, model development, prototyping workflows).
  • Experience scaling AI solutions in large, regulated organizations.

Benefits/Compensation (as stated):

  • Base salary range: $176,600–$294,300. Eligible for Global Performance Plan bonus target of 20% and long-term incentives; benefits include 401(k), paid time off, caregiver/parental and medical leave, and medical/dental/vision coverage.

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Director, Oncology AI Product & Engineering Lead in san diego at Unknown Company

This position is listed as full time and onsite.

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