Director, Oncology AI Product & Engineering Lead
Job in
San Diego, San Diego County, California, 92189, USA
Listed on 2026-08-30
Listing for:
Scorpion Therapeutics
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Job Description & How to Apply Below
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.
- 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.
- 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.
- 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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