Product Manager – AI QA Automation for Radiation Oncology

Role Overview

We are seeking a Product Manager with strong expertise in radiation oncology QA workflows to lead the development of our AI-driven QA platform. This product streamlines machine QA, automates compliance, and integrates data from linacs, imaging systems, and ancillary devices—ensuring safe, high-quality cancer care delivery.

Key Responsibilities

• Own the product roadmap for AI-based QA solutions in radiation oncology.
• Collaborate with medical physicists, therapists, and administrators to refine clinical use cases and workflows.
• Define features for automated QA schedules, image analysis, data capture, and compliance reporting.
• Ensure compliance with TG-142, ACR, AAPM, MQSA, and Joint Commission recommendations.
• Work with engineering teams to implement vendor-agnostic integrations with treatment and imaging equipment.
• Lead clinical validation studies, user acceptance testing, and coordinate FDA/CE regulatory clearance.
• Partner with oncology networks and research institutions to pilot and scale adoption.

Required Qualifications

• 5+ years’ experience in radiation oncology QA, ideally as a medical physicist.
• Strong understanding of QA processes for linacs, CT simulators, MRI, and nuclear medicine devices.
• Familiarity with QA phantoms, automated QA tools, and vendor ecosystems (Varian, Elekta, etc.).
• Experience with AI/ML-driven QA or digital healthcare platforms.
• Knowledge of oncology clinical workflows and safety standards.

Preferred

• DABR or equivalent certification.
• Prior experience with cloud-based QA platforms.
• Knowledge of oncology EMR integration, DICOM RT standards, and interoperability protocols.