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Senior Software Engineer, Adaptive

Radformation
CompanyRadformation
CategoryEngineering
LocationRemote US
RemoteRemote
EmploymentFull-time
LevelSenior
SalaryNot stated by the employer
Posted23 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (lever)
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Description
About Radformation Radformation is transforming the way cancer clinics deliver care. Our innovative software automates and standardizes radiation oncology workflows, enabling clinicians to plan and deliver treatments faster, safer, and more consistently, so patients everywhere can receive the same high-quality care. Our software focuses on three key areas: Time savings through automation Error reduction through automated systems Increased quality care through advanced algorithms and workflows We are a fully remote, mission-driven team united by a shared goal: to reduce cancer’s global impact and help save more of the 10 million lives it claims each year. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patient’s treatment quality depends on where they live. Why This Role Matters In this role, you will help advance treatment accuracy and efficiency by building software for Radformation's adaptive radiation therapy efforts. The work sits at the intersection of medical imaging, geometric computing, numerical methods, and desktop software engineering. Success requires strong algorithmic thinking, performance-aware implementation, and the ability to translate complex clinical concepts into reliable software. You'll work closely with physicists, product leaders, and engineers; your work will directly influence treatment decisions at the point of care. Responsibilities Include: Design, develop, and maintain features supporting adaptive radiotherapy workflows: DICOM integration, image registration, dose visualization, DVH evaluation, and machine positioning Build and optimize algorithms for 3D image processing, coordinate transforms, deformable registration, and dose sampling on deformed anatomy Develop performant, reliable WPF desktop software operating under near real-time constraints. Integrate with oncology information systems via DICOM networking and related clinical interfaces Collaborate with physicists and product leaders to translate clinical requirements into production software Contribute to architecture, testing, code reviews, and technical decision-making Support teammates through collaboration, mentorship, and knowledge sharing Required Experience Bachelor's degree in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or a related technical field Minimum of 5 years of professional software engineering experience Strong proficiency in C# and WPF with experience developing production desktop applications Experience working with DICOM data — including network operations or file processing — and 3D medical imaging Experience with geometric computing, numerical methods, coordinate systems, spatial transformations, and performance-oriented software development Strong analytical, mathematical, and problem-solving skills Excellent written and verbal communication skills Preferred Experience Master's degree in Computer Science, Engineering, Physics, Mathematics, or a related field Experience in radiotherapy treatment planning and delivery  — clinical, research, or industry. Experience with deformable image registration (DIR) algorithms, dose visualization, or DVH-based plan evaluation Experience designing caching strategies and optimizing latency-sensitive desktop applications Experience with .NET Core, C++, or Python Familiarity with Domain-Driven Design principles Experience using AI or LLM-assisted development tools as part of a professional software engineering workflow What Makes You Successful You enjoy solving complex mathematical and computational problems You balance algorithmic innovation with practical software engineering You collaborate effectively across technical, clinical, and product disciplines You take ownership of your work and write maintainable, well-tested code You are curious, adaptable, and committed to continuous learning AI & Hiring Integrity At Radformation we believe AI can be an incredible tool for in
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