The Intelligent Ultrasound Division of MedaPhor is looking for image analysis software engineers to join its Oxford-based R&D team.
Job specification
You will be highly numerate and have experience of deep learning in medical imaging. You will join our R&D team working on automated analysis of ultrasound images. Our technology uses both deep learning and traditional image analysis techniques and is based in part on research undertaken by the laboratory of Professor Alison Noble at Oxford University. There remains a strong connection with this academic group as well as collaborative hospitals.
You will work under the guidance of a senior software engineer to develop components of our core analysis platform. Your algorithms will be incorporated into products under development and clinical evaluation. The post will appeal to someone looking to contribute to changing the way ultrasound is perceived as a healthcare diagnostic tool, and to seeing their own work have real world impact.
This full-time role will be based in the Intelligent Ultrasound Division office in Milton Park, Didcot which is 14 miles from Oxford, approx. 60 miles from London, and located in one of the fastest growing life sciences clusters region in Europe.
Skills requirement
Experience of designing bespoke deep-learning architectures for image analysis problems.
Experience of deep learning and image analysis software packages: Caffe, TensorFlow, OpenCV
C++, Python
Understanding of the quality aspects of commercial software development, including: software project management and the software lifecycle,software testing strategies, source control
Ideally you will have developed software in a regulatory environment (eg ISO9001, ISO13485) but this is not an absolute requirement
Team player
Attention to detail to ensure prototype software is of a high standard
Fits into a small team: willing to help out where needed
PhD or MSc in computer science or engineering with a modern machine learning in imaging focus.
Interested? Send CV and a cover letter to [log in to unmask] See also www.medaphor.com
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