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7 дней назад

Senior Algorithm Engineer (Medical Imaging)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Algorithm Engineer (Medical Imaging): Developing and evaluating algorithms and high-performance software for oncology imaging, including registration, segmentation, motion tracking, and image-based informatics, with an accent on machine learning, deep learning, and GPU-based processing. Focus on translating research prototypes into clinical products, solving complex 2D, 3D, and 4D imaging problems, and collaborating with scientists, engineers, and healthcare partners.

Location: Helsinki; primarily office-based with an expectation of working from the hirify.global office at least four days per week

Company

hirify.global develops precision radiation medicine and oncology imaging and treatment solutions used by healthcare providers worldwide.

What you will do

  • Develop algorithms and software for complex medical imaging challenges in oncology, including image registration, segmentation, motion tracking, and image-based informatics.
  • Design, build, and evaluate research prototypes for integration into hirify.global products and clinical workflows.
  • Apply machine learning, deep learning, statistical methods, and numerical optimization to 2D, 3D, and 4D imaging problems.
  • Develop high-performance software using Python, C++, CUDA, and related technologies.
  • Collaborate with research scientists, software engineers, product stakeholders, external research institutions, healthcare organizations, and technology partners.
  • Contribute to testing, validation, documentation, publications, presentations, and intellectual property activities.

Requirements

  • Advanced knowledge of medical imaging, machine learning, and/or computer vision, preferably in healthcare, oncology, or another regulated environment.
  • Strong Python and C++ development experience, including Visual Studio.
  • Experience with scientific computing libraries such as ITK, VTK, NumPy, Scikit-Learn, and Matplotlib, plus PyTorch and/or TensorFlow.
  • Experience developing GPU-based image processing algorithms with CUDA and practical knowledge of image registration, segmentation, motion tracking, statistical modelling, numerical optimization, and matrix and tensor algebra.
  • Experience developing imaging applications and either a relevant PhD with at least five years of relevant software development or research experience, or a relevant Master’s degree with at least ten years of experience.
  • Ability to solve complex technical problems independently, collaborate in multidisciplinary teams, and communicate scientific concepts clearly.

Nice to have

  • Experience with C#, .NET, OpenMP, OpenCL, or DICOM.
  • Patent authorship or other intellectual property experience.

Culture & Benefits

  • Benefits package aligned with local market practices and employment conditions.
  • International work environment with collaboration across multiple countries and functions.
  • Opportunity to contribute to cancer care technology used by more than two million patients annually across over 130 countries.

Hiring process

  • Submit a CV in English through the application process.
  • Applications are reviewed on an ongoing basis.

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