Role overview
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.
What you'll work on
OrthoGrid Systems is seeking a skilled Data Scientist Engineer m/w to contribute to research and development efforts for groundbreaking surgical medical image analysis technology.
This role offers a unique chance to collaborate within a tight-knit team of engineers, scientists, and medical professionals dedicated to creating intraoperative computer vision tools for orthopedic procedures.
The ideal candidate will be an adept software engineer with a strong background in using AI techniques to automate Data workflows, committed to streamlining and enhancing data workflows for orthopedic image databases.
What we're looking for
Proficient in English, you demonstrate excellent communication (written and oral) and interpersonal skills.
- Proven expertise in managing large image databases and the use of data-driven analytics to uncover pertinent image patterns.
- Familiarity with CUDA and OpenCL for accelerated computing tasks.
- Demonstrated proficiency with 2D and 3D annotation tools and visualization platforms like FiftyOne and CVAT, MONAI Label.
- Working knowledge of medical open-source frameworks for deep learning and active learning, including MONAI.
- Competence in applying mathematical principles and image processing techniques to both 2D and 3D .
- Strong grasp of machine learning principles as they pertain to medical image analysis.
- Hands-on experience in developing 2D and 3D machine learning models for data analysis.
- Familiarity with Agile project management methodologies for efficient project execution.
- Proficiency in utilizing toolkits such as VTK, ITK, OpenCV, CMake, and Qt.
- Previous involvement in developing data applications and data workflows optimization.