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Sr Data Scientist

职位ID
486296
发布时间
14-4月-2026
工作领域
Research & Development
公司
Siemens Healthcare Private Limited
经验水平
高级专业人士
工作职位
全职
工作模式
仅办公室/网站
工作性质
长期
通知語言
  • 班加罗尔 - 卡纳塔克邦 - 印度
Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare.
 
The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions.
 
Responsibilities:
•         Contribute the development of Artificial Intelligence solutions for medical imaging 
•         Support the product development and deployment of research prototypes
•         Support Scientific evaluation, setup and manage algorithm validation pipeline

 
Education:
Master's or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics .
 
Experience:
10+ Years of experience
 
Skills/Competency:
•         Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R)
•         Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required
•         Prior exposure to machine learning and related fields is preferable but not required
•         Motivated, self-driven and with a strong ability to learn independently 
•         Exhibits strong problem-solving skills
•         Self-directed and actively takes initiative 
•         Familiar with DICOM & Medical Raw image formats and it's applications
•         Familiar with Data science tools & statistics
•         Strong knowledge of various regulatory needs related to medical devices, AI products in healthcare
•         Experience in conducting clinical trials/ validations/ Gathering Post Market Clinical Feedback