Business Unit: Services
Requisition Number: 230678
Primary Location: United States-Pennsylvania-Malvern
Assignment Category: Full-time regular
Experience Level: Senior level
Education Required Level: Master's Degree
Travel Required: No
At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably. A leading global med-tech company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare IT services – as well as further technologies in the growing market for therapeutic and molecular diagnostics.
Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape.
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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.