Radformation is transforming the way cancer clinics deliver care by automating and standardizing radiation oncology workflows to enable clinicians to plan and deliver treatments faster, safer, and more consistently.
Requirements
- Expert programming skills in Python
- Experience with other high-level languages such as C, C++, or Java (desirable)
- Fluent with PyTorch and TensorFlow
- Hands-on experience with building, training, and tuning machine learning models
- Experience building convolutional neural networks (CNNs), particularly U-Net
- Proficient with code repositories such as Bitbucket, GitHub, or Azure DevOps
- Strong knowledge of Git for version control
Responsibilities
- Write and maintain ETL pipelines for clinical and imaging data
- Build, train, and test machine learning models to support oncology workflows
- Support FDA submissions by contributing to documentation and testing
- Participate in design reviews, risk and hazard analyses, and other formal processes
- Collaborate with the cloud team to troubleshoot deployed systems
- Work closely with the AI team to address model issues and propose improvements
- Attend daily stand-ups and related project meetings
Other
- BS in computer science, mathematics, statistics, or related field with 3+ years of experience, or MS with 1+ years of experience
- You are a clear communicator and believe the team succeeds or fails together
- You are highly motivated with strong attention to detail
- You are adaptable and thrive in a fast-paced, evolving environment
- You take ownership of your work and have strong prioritization skills
