Research Software Engineer in Healthcare Data Analytics Solutions
Do you have a background in cloud computing frameworks and big data analysis with experience in biomedical imaging pipelines?
Do you have a passion for large heterogeneous data systems and working across the full stack?
Are you ready to think out-of-the-box, innovate and find solutions to challenging distributed systems problems?
The Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), within the Faculties of Engineering and Medicine & Health, involves various academics and their research groups. CISTIB focuses on algorithmic and applied research in the areas of computational imaging, and image-based computational physiology modelling and simulation. CISTIB contributes in different areas of medical image computing and image-based biomechanical and computational physiology modelling. CISTIB works in close cooperation with clinicians from various research centres from the University of Leeds and the academic hospitals of the Leeds Teaching Hospital Trust Foundation, the largest NHS Trust of the UK. Clinical areas where CISTIB members have contributed to, and made substantive innovations in the field are focused around the cardiovascular, musculoskeletal and neural systems, where they have developed diagnostic and prognostic quantitative image-based biomarkers and methods and systems for interventional planning and guidance.
The centre hosts academic members from the University of Leeds and Research Fellows, Research Associates, PhD Students and Scientific Software Developers forming a cross-disciplinary team committed to clinical translation of their innovations.You will be part of the Scientific Software Development (SSD) team at CISTIB that is the responsible for the development and maintenance of the MULTI-X Platform, the GIMIAS platform, and the prototypes developed for specific domains based on these platforms, and the prototypes we develop as part of our involvement in local and international projects. SSD activities include but are not limited to support, dissemination, training and software development. As a senior member of the team, you will contribute at the technical and management level to accomplish the different challenges and project objectives and will contribute to the planning of joint research projects led by the Principal Investigator.
To explore the post further or for any queries you may have, please contact: Professor Alex Frangi, Diamond Jubilee Chair of Computational Medicine Tel: +44(0)113 343 5430 or email: email@example.com
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