Sr Data Scientist

Job ID

486296

Veröffentlicht seit

14-Apr-2026

Tätigkeitsbereich

Research & Development

Unternehmen

Siemens Healthcare Private Limited

Erfahrungsniveau

Experienced Professional

Beschäftigungsart

Vollzeit

Arbeitsmodell

Arbeiten vor Ort

Vertragsart

Unbefristet

Standort(e)

Bangalore - Karnataka - Indien

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

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