Senior Algorithm Engineer - Medical Imaging

About the role

Elekta develops precision radiation medicine and oncology imaging solutions used worldwide. As a Senior Algorithm Engineer in Helsinki, you will help turn research into product-ready innovations by applying medical imaging, machine learning and high-performance software to image registration, segmentation, motion tracking and image-based informatics. The role is primarily office-based, with at least four days per week expected at the Elekta office.

Key responsibilities

• Develop algorithms and software for medical imaging challenges in oncology, including registration, segmentation, motion tracking and image-based informatics.
• Design, build and evaluate research prototypes that can become Elekta products and clinical workflows.
• Apply machine learning, deep learning, statistical methods and numerical optimization to 2D, 3D and 4D imaging problems.
• Collaborate with scientists, engineers and product stakeholders to define technical approaches and specifications.
• Partner with external research institutions and healthcare organisations on evaluations and co-development when needed.
• Contribute to testing, validation, technical documentation, white papers and presentations.
• Stay current with scientific developments and contribute to publications, intellectual property and patents.

Required profile

• Advanced knowledge of medical imaging, machine learning and/or computer vision, ideally in healthcare, oncology or a regulated environment.
• Ability to solve complex technical problems independently, work in multidisciplinary teams and communicate scientific concepts clearly.
• Experience developing imaging applications, plus either a PhD in Physics, Mathematics, Computer Science, Engineering, Medical Physics or a related field with at least 5 years of relevant software development and/or research experience, or a Master's degree with at least 10 years of relevant experience.

Required skills

• Strong programming, including Python and C++ with Visual Studio.
• Scientific computing libraries such as ITK, VTK, NumPy, Scikit-Learn and Matplotlib, and deep learning frameworks such as PyTorch and/or TensorFlow.
• GPU-based image processing with CUDA.
• Rigid and deformable image registration, image segmentation, motion tracking, statistical modelling, numerical optimization and matrix/tensor algebra.
• Nice to have: C#.NET, OpenMP, OpenCL, DICOM, patent authorship or IP activities.

What we offer

• A competitive benefits package aligned with local market practices, varying by location (Helsinki, Best or Crawley).
• An international work environment with colleagues across many countries.
• The chance to work on technology used by more than 2 million patients each year in over 130 countries.

Applications are submitted online via the "Apply" button with a CV in English; applications are reviewed on an ongoing basis.