Ai Imaging Scientist

vor 2 Wochen

Zurich, Schweiz X23D Vollzeit

**Full-time AI Imaging Scientist**

**Who we are?**
X23D AG is a young MedTech startup dedicated to improving the status-quo in surgical guidance by disrupting the computer
- and robot-assisted surgery. We achieve this by utilizing the modern breakthroughs in artificial intelligence. At the heart of our team, we have a growing research and development team currently working towards revolutionizing the computer-assisted surgery market, through the delivery of products that can seamlessly be integrated in the existing surgical workflow, which are “Accurate, whilst Simple”. Being a spin-off company from the Balgrist University Hospital and the University of Zurich, X23D is in a very unique position; whereby, our team maintains direct access to medical and scientific resources necessary to create products that address the “real-world” clinical needs.

**Who we want?**

**Roles and Responsibilities**
- Design, training, validation and maintenance of Artificial Intelligence models for medical (e.g. X,ray, CT scan or MRI) and natural natural (e.g., RGB-D) image processing tasks.
- Research and implementation of state-of-the-art AI-based computer vision and medical and natural image processing algorithms for object detection and localization, object and scene reconstruction, pose estimation and calibration.
- Participate in the design and implementation of related data-collection software algorithms and product validation pipelines (e.g., ex-vivo image data collection and testing).
- Participate in regular software design, development and testing reviews.
- Provide initiative and leadership in identifying new areas of research that can benefit our mission.
- Communicating with our medical and industrial partners to define product requirements.

**Qualifications**
- MSc or PhD (preferred) degree in computer science, informatics, robotics, engineering physics or related fields.
- Excellent programming skills in Python or C++.
- Experience in implementing computer vision and medical and natural image analysis software or projects (using e.g., OpenCV, Insight Toolkit, 3D Slicer, Open3D, etc.).
- Profound experience in working with common deep learning libraries (e.g., Pytorch, Tensorflow or Keras).
- Profound experience in designing and training custom-made deep learning architectures.
- Experience in study design and management of ex-vivo studies is a plus.

**What we can Offer**
We are a team of dedicated young professionals with the mission of bridging the gap between the front-line developments in the fields of computer science, engineering and surgery. Working at our team is a unique opportunity to expand your professional portfolio by having day-to-day collaborations with colleagues with a vast variety of backgrounds, ranging from surgery and healthcare to computer science and biomedical engineering. The product that we are working on will pave the way toward a revolution in computer-assisted surgery by delivering accurate and accessible surgical assistance. We are proud of maintaining a diverse, friendly and supportive working atmosphere where everyone can work, learn and enjoy their job at the same time. As another benefit, you will have the chance to work and collaborate with our interdisciplinary team across different geographic locations. A hybrid work model is possible (combination of on-site and remote work).

Supplemental pay types:

- Overtime pay
- Performance bonus

Work Location: In person

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