Computer Vision Data Scientist
View: 165
Update day: 03-04-2024
Location: Basel Basel-Stadt BS
Category: High Technology Mechanical / Technical Electrical / Electronics IT - Software
Industry: Medical Equipment Manufacturing
Position: Entry level
Job type: Full-time
Job content
About ARTIDISARTIDIS AG is a clinical-stage health-tech start-up founded in Basel, Switzerland that has developed the first nanomechanical biomarker for cancer diagnosis and treatment optimization.The ARTIDIS nanotechnology platform integrates different types of clinical data into the ARTIDISNET digital platform, allowing physicians to significantly shorten the current diagnostic process and benefit both the patient and the healthcare system. ARTIDIS enables professionals to design personalized cancer treatment plans tailored to individual patients’ needs and desired outcomes.Job PurposeARTIDIS is changing the way cancer is diagnosed and treated. As a member of our team, you will have the opportunity to create products that will assist doctors, clinicians, nurses and patients in conducting clinical studies and providing better healthcare. A Computer Vision Data Scientist at ARTIDIS is expected to communicate and understand customer requirements.As a Computer Vision Data Scientist, you’ll be tasked to develop, deploy, and maintain computer vision models on a medical device and in the cloud.Duties and ResponsibilitiesDevelop, productionize, maintain, and improve computer vision models for image classification, segmentation and analysis with the use of deep learning and classical image analysis techniques.QualificationsRequired- Experience in digital health and driving innovation in health care
- Experience developing computer vision (image processing and deep learning-based) solutions for medical images – Preference for image segmentation, object recognition
- Experience with the Python data stack (TensorFlow, PyTorch, numpy, pandas, scikit[1]learn)
- Experience with OpenCV
- Writing documented, clear and efficient code
- Understanding of how and why to use version control systems for code, data and models
- Ability to design and implement requirements with long-term objectives in mind
- Proactive way of thinking, communicating and working
- Ability to work without supervision
- High level of expression and comprehension of the English language
- Understanding of MLOps for automatic deployment, continuous training, and model monitoring – Preference for experience with model deployment on a medical device or edge-compute and cloud-based models
- Understanding regulations in the medical device and software fields (and their relevance to machine learning
- Basel, Switzerland
- Houston, Texas
- Fully Remote
Deadline: 18-05-2024
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