Senior Scientist-Ultrasound Imaging
The Senior Scientist-Ultrasound Imaging will play a critical role in ensuring an exceptional level of image quality, clinical performance, workflow, and advanced intelligence, through the design, development, and integration of new Ultrasound Imaging systems and transducers.Your role:
Apply acoustic wave propagation and signal processing theory to the design and specification of new imaging algorithms and imaging sub-systems.
Leading development and implementation of new ultrasound imaging capabilities, including development plans, algorithm design, integration strategy, and SW implementation.
Apply Deep Learning and Artificial Intelligence (AI) techniques to improve ultrasound imaging performance. Research network architecture and training methods optimal for specific clinical applications and customer needs. Develop data augmentation methods based on ultrasound physics and imaging artifacts. Develop and participate in ultrasound feasibility and research projects, especially using deep learning and AI techniques to enhance ultrasound image clarity, increase frame rate and/or reduce computational complexity.
Tune diagnostic ultrasound systems for optimum image quality on a range of transducers and imaging features. Also, work closely with customers to understand their needs and evaluation of new designs.
Reporting to the Image Formation Group Leader, you will collaborate cross-functionally with R&D team members, Marketing, Product Management and Internal/External stakeholders to define new feature requirements to meet specific clinical applications/market needs and translate marketing/customer requirements into engineering specifications.
You're the right fit if:
You’ve acquired a minimum of 5 years’ experience in ultrasound research and/or product development, including acoustics, ultrasound beamforming, antenna design/modeling, optimal acquisition design, signal/ image processing, clinical science, and translational research, including scientific publications.
Your skills include Clinical Research, Artificial Intelligence (AI), Deep Learning and strong software skills in-MATLAB, C/C, GPU programming with CUDA or OpenCL, OpenCV and Python.
You have a minimum of a PhD (Required) in Electrical Engineering, Biomedical Engineering, Physics, Computer Science or equivalent disciplines.
You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .
How we work together:We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This is an office role.About Philips:We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
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Philips Transparency Details:
The pay range for this position in Cambridge, MA is $130,000 to $223,000.
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.Additional Information
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Cambridge, MA.
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