{"interviewQueryText":"What are some good interview questions in British English for the job description below?\n\n-------------------------------------------\n\nBioinformatician - Medical Physics (XR07) with Leeds Teaching Hospitals in Leeds\n\n Applications are invited to join the newly established Scientific Computing Group at Leeds Teaching Hospitals NHS Trust. This job offers an exciting opportunity to use your software development and data analysis skills at the centre of clinical research and service improvement working with the latest healthcare technology. The role would be suitable for anyone with a background in Scientific Computing, Clinical Engineering, Medical Physics or Bioinformatics (Physical Sciences/Heath Informatics) with an interest in software development and data analytics. Specific duties include:- Development and implementation of novel clinical computer software devices, applications and models within the relevant quality and legislative frameworks. Application of data science methods for the orchestration and analysis of clinical datasets, medical images and the results of computer simulations. Evaluation, configuration and commissioning of computerised healthcare technology. Working with academics, other scientists and clinicians, participating in multi-disciplinary research activity. Training others in the field of Scientific Computing The successful applicant will take a leading scientific computing role within Medical Physics and Clinical Engineering working on projects that might relate to radiotherapy, radiation protection, CT and X-Ray based radiology, nuclear medicine, MRI, renal technology, rehabilitation engineering or the deployment and management of biomedical equipment. The role also includes research opportunities in AI and Deep Learning. Leeds Teaching Hospitals NHS Trust cares for 2 million patients every year and is one of the largest hospital trusts in the UK serving an immediate population of 770,000 and providing regional specialist care for 5.4 million people. The Trust has strong academic links with regional universities and collaborates closely with commercial partners in the development, investigation and evaluation of medical equipment and clinical systems. The successful applicant will have excellent software development andor data science knowledge and skills backed up with relevant experience of practice in a clinical or medical setting. Ideally they will be registered as a healthcare scientist, a clinical technologist, or a healthcare science practitioner. Unregistered applicants may be appointed where a development plan is established that will lead to registration. If the successful applicant is currently part of the Scientist Training Scheme, the start date can be delayed until the end of the scheme. For an informal discussion contact Jack Baldwin on 0113 2068237 (jack.baldwin@nhs.net). Applications are invited to join the newly established Scientific Computing Group at Leeds Teaching Hospitals NHS Trust. This job offers an exciting opportunity to use your software development and data analysis skills at the centre of clinical research and service improvement working with the latest healthcare technology. The role would be suitable for anyone with a background in Scientific Computing, Clinical Engineering, Medical Physics or Bioinformatics (Physical Sciences/Heath Informatics) with an interest in software development and data analytics. Expected Shortlisting Date - 25/10/2024 Planned Interview Date - 15/11/2024 Specific duties include:- Development and implementation of novel clinical computer software devices, applications and models within the relevant quality and legislative frameworks. Application of data science methods for the orchestration and analysis of clinical datasets, medical images and the results of computer simulations. Evaluation, configuration and commissioning of computerised healthcare technology. Working with academics, other scientists and clinicians, participating in multi-disciplinary research activity. Training others in the field of Scientific Computing The successful applicant will take a leading scientific computing role within Medical Physics and Clinical Engineering working on projects that might relate to radiotherapy, radiation protection, CT and X-Ray based radiology, nuclear medicine, MRI, renal technology, rehabilitation engineering or the deployment and management of biomedical equipment. The role also includes research opportunities in AI and Deep Learning. "}