Sr. Scientist – Medical Image Computing

Siemens Healthineers
Malvern, Pennsylvania
Job Type: 
Full Time
Closing Date: 
Saturday, December 30, 2017

Division: Siemens Healthineers
Business Unit: Services
Requisition Number: 211841
Primary Location: United States-Pennsylvania-Malvern
Assignment Category: Full-time regular
Experience Level: Senior level
Education Required Level: Master's Degree
Travel Required: No

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.

With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry and a leader in medical imaging, laboratory diagnostics and healthcare IT. All supported by a comprehensive portfolio of clinical consulting, training, and services available across the globe and tailored to customers’ needs. So that more people can have a life that is longer, richer, and more filled with happiness.

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Job Description:

Senior Scientist – Medical Image Computing

Siemens Medical Solutions, Imaging Innovation Team in Malvern, PA, has an immediate opening for a senior scientist in the area of medical image computing, pattern recognition, and machine learning. The Innovation team delivers trend-setting computer vision, pattern recognition and machine learning software applications for medical image analysis and understanding, supporting clinicians and other medical professionals.

In this position you will conduct leading-edge research and prototyping for medical image computing and learning-/content-based applications.

The research tasks include the development of novel and efficient algorithms and systems for detection, segmentation, and recognition/classification of physiological and pathological patterns in 2D, 3D or 4D medical imaging data.

The research task could also include the development of novel algorithms and systems for semantic image indexing, efficient image matching and search from large medical image databases, and knowledge-guided, value-adding information retrieval from large-scale biomedical information repositories.

The ideal candidate should have a Ph.D., or be close to obtain one, in Computer Science, Biomedical Engineering, Electrical Engineering or related fields. Candidates with a Master degree with an advanced research background and strong system and software capabilities can also apply.

The candidate should have advanced knowledge and a proven record of strong research in pattern recognition and medical image computing. He or she should have advanced knowledge in machine learning, especially with its application in pattern recognition. Prior experience in medical image analysis is NOT a necessary condition to apply, although research experience on medical imaging topics with clinicians in a clinical environment will be a plus.

The ideal candidate needs to demonstrate strong interpersonal skills, be an effective communicator. Strong algorithm implementation skills using C++ is required.