Director, Oncology AI Product & Engineering Lead

Scorpion Therapeutics; San Diego (CA); On-site; USD 177,000 - 294,000; Full time

Benefits offered by this job

401(k)

Paid time off

Medical/dental/vision coverage

Bonus program

Job summary

Scorpion Therapeutics in San Diego is seeking an Oncology AI Product Lead to own the strategy and roadmap across discovery, translational science, clinical development, and real-world evidence. You will lead a cross-functional AI engineering team, translate complex scientific problems into product requirements and success metrics, and drive adoption beyond pilots to deliver sustained impact.

This role partners with Oncology, clinical, Digital, Enterprise AI, and IT teams in a regulated biotech

Qualifications

• PhD or Master’s in CS/ML/Data Science/AI or related field with 5+ (or 7+) years of applied analytical experience.
• Demonstrated impact leading AI-enabled products/platforms in pharma/biotech/healthcare tech.
• Strong understanding of Oncology R&D workflows and data/AI in decision-making.

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 (direction, prioritization, coaching).
• Translate complex scientific problems into AI product requirements, success metrics, and delivery plans.

Skills

AI product leadership

cross-functional leadership

stakeholder management

communication

data-driven decision making

Education

PhD (or MS) in CS/ML/DS

Tools

Python

ML frameworks

Job description

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.