Post Doc MR Research Scientist
Business Unit: Business Administration
Requisition Number: 224995
Primary Location: United States-Massachusetts-Boston
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Doctorate Degree
Travel Required: 5%
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.
For more information, please visit: http://www.usa.siemens.com/healthcare
As a remote employee in the Magnetic Resonance (MR) Research Collaborations Group, manage and execute the research collaboration with a leading academic center in Boston, MA.
The Siemens MR R&D team in the US is a multidisciplinary group of highly motivated scientists, engineers, and advanced application specialists based at various locations across the country, and working closely with our research partners at Universities and academic hospitals.
We are seeking a highly motivated and experienced individual to join our team to help maximize the clinical and business impact of our research work. The position will be based at a leading academic institution in Boston, MA. The individual will be responsible for supporting the research initiatives at the institution and driving innovative and clinically relevant MR techniques from prototype to a commercially ready product. The individual is expected to take a lead in design, implementation, and execution of research projects in MR in collaboration with our academic and clinical partners.
Furthermore, the individual will act as a liaison between Siemens’ research collaborators and Siemens’ internal groups worldwide, including, but not limited to R&D, product definition and development teams, and Marketing.
Strong expertise in sequence development and understanding of how an MRI scanner works is required. Substantial experience in C++/C# software development and design and implementation of MR sequences and image reconstruction using the Siemens SDE platform (IDEA/ICE) is expected, as well as knowledge in image post processing. Strong attention to detail, outstanding communications skills, ability to create new and innovative solutions, establish and maintain relationships with a variety of people in different roles / levels and physical locations are critical. An outstanding track record of peer reviewed publications is highly desired.
Duties will include but are not limited to the following areas:
· Develop and manage the research collaboration with your academic partner.
· Define and execute research projects with your academic partner to generate scientific results that are relevant for the academic and industrial partnership.
· Adhere to Siemens’ collaborations policies, and take ownership of the processes for collaboration management with your assigned partner.
Research and Development
· Work closely with your academic partner to drive MR research and translate this knowledge into MR products.
· Drive the development of novel, clinically relevant techniques (MR pulse sequences and image reconstruction) with our research partner.
· Develop and release prototypes of novel techniques in compliance with highest source code quality.
· Evaluate prototypes, and publish results in peer-reviewed journals.
· Conduct original research resulting in patent applications.
· Educate R&D and Applications colleagues on clinical research issues.
· Product integration of innovative techniques according to quality standards for medical devices.
· Implementation of improvements of currently existing product features.
· Maintenance and improvements of existing code base, bug fixing, testing.
· Contribute to product protocol development for novel features.
Sales and Marketing Support
· Provide content for articles for Siemens publications such as MAGNETOM Flash together with internal and external collaborators.
· Support educational meetings, tradeshows, and site visits.
· Answer questions from Sales and Marketing related to areas of the team’s responsibility.
· Demonstrate strong knowledge of organization's business practices, issues faced, and contribute to problem resolution of those issues.
Required Knowledge/Skills, Education, and Experience
· Advanced degree in Biomedical Engineering / Biomedical Physics / Imaging Physics, or equivalent.
· Prior experience working on Siemens’ MR systems in pulse sequence design and image reconstruction.
· Substantial experience in C++/C software design, implementation and coding.
· Strong collaboration skills and ability to thrive in a dynamic environment.
· Strong MR physics background.
· Expertise in MR imaging techniques and clinical applications.
· Experience in working with internal and external partners.
· Experience using Matlab for signal and image processing.
· Outstanding writing, presentation, and communication skills.
· Excellent teaching skills and a proactive can-do attitude.
· Ability to work independently and prioritize work.
· Ability to multi-task and follow through.
· Detail-oriented and organized.
· Skilled in MS office software applications (PowerPoint, Word, Excel).
· Ability to travel up to 20%
Preferred Knowledge/Skills, Education, and Experience
· Expertise in image post processing methods such as segmentation and registration approaches.