remote
Senior Software Engineer, Adaptive - Radformation
Software Engineer
Lead the design and implementation of automated radiation oncology workflows, leveraging Python, Node.js, AWS, and machine‑learning techniques to deliver faster, safer, and higher‑quality cancer treatment solutions.
About the role
Key Responsibilities
- Architect and develop scalable backend services in Python and Node.js to support automated radiation oncology workflows.
- Integrate AWS cloud services (Lambda, S3, DynamoDB) for data storage, processing, and deployment pipelines.
- Collaborate with data scientists to implement machine‑learning models that enhance treatment planning accuracy.
- Design and maintain CI/CD pipelines, ensuring rapid, reliable releases.
- Participate in code reviews, performance tuning, and security best practices.
Requirements
- 5+ years of professional software development experience.
- Proficiency in Python, Node.js, and AWS architecture.
- Hands‑on experience with machine‑learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of automation, workflow orchestration, and data pipelines.
- Excellent problem‑solving skills and a passion for improving healthcare outcomes.
Skills
pythonnodejsawsmachine learning