Lead Research Engineer - Medical Imaging
Austin Fraser have partnered with an award-winning medical imaging company in Oxforshire to hire a Lead Research Engineer.
Our client is aiming to revolutionise the management of cardiovascular disease and apply advanced data science techniques to tackle industry challenges.
Lead a small team of research scientists working on image segmentation and quantification images and prognostic risk models using classic and machine learning techniques.
Define research strategy and roadmap in fulfilment of product roadmap.
Ensure algorithms and research results can be transitioned efficiently to the product code-base.
Oversee and participate in algorithm validation and robust recording of studies, methodology and results.
Hands-on development of algorithms for image segmentation, quantification, and rendering.
Work with external collaborators on research projects.
Identify opportunities for and oversee / participate in writing scientific publications
Excellent communication skills and positive outcome-oriented attitude
Experience working in a regulated industry such as medical device development
Experience leading a commercial research team
Experience with deep learning
Experience using Python in a commercial research environment
Experience in CT image segmentation techniquesWorking knowledge of R
Working knowledge of DICOM
Line management experience
PhD degree in technical medical imaging disciplineDesirable Experience:
Experience in CCTA vessel analysis, rendering and annotation techniques
Experience in CT quantification / QIBA
Basic knowledge in biostatistics including regression modelling and clinical prediction models
Hand-on experience with TensorFlow and Keras
Experience with data management and collaboration partner management
Experience with LinuxTo be considered for this opportunity, please 'Apply Now', or contact Sam Chaher at Austin Fraser.
Austin Fraser is acting as an Employment Agency in relation to this vacancy.
Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status.
Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants
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