Clinical Scientific Computing
Region
Trust
Clinical Scientific Computing – Guy’s and St Thomas’ NHS Foundation Trust
STP trainees will be employed at Guy’s and St Thomas’ NHS Foundation Trust (GSTT) working within the Clinical Scientific Computing team. Trainees will learn about the use and development of AI in healthcare, including the ethical use of clinical data, to improve patient care and outcomes. Trainees will undertake a mixture of on-site and remote work.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Dr Sarah Peel
Email: sarah.peel@gstt.nhs.uk
Clinical Scientific Computing – Leeds Teaching Hospitals NHS Trust
Trainees will be based within the Haematological Malignancy Diagnostic Service in Leeds, a regional diagnostic laboratory for blood cancers. The department integrates a number of laboratory specialisms with a range of technologies and also has a laboratory information system (LIMS) which is developed and maintained within the department. As well as opportunities related to the LIMS and laboratory automation, the department is involved in research and clinical trials, which bring data management requirements. Rotations will also be included to other areas of the trust. There are also ongoing projects in the development of AI in the field of digital pathology. Trainees will gain a variety of skills including: Knowledge of all stages of the Software Development Lifecycle; AI skills; Programming skills; Creating software; Commissioning software for clinical use; Maintenance of clinical software; Data curation; Project management; Software policy expertise.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Ruth de Tute
Email: rdetute@nhs.net
Clinical Scientific Computing – London North Medical Physics Training Consortium
Based in the Nuclear Medicine Department at the Royal Free Hospital NHS Foundation Trust, trainees will complete their work-place competence through direct daily involvement in CSC applied to state-of-the-art innovative developments and routine clinical practice. The service has recently installed the country’s first total-body PETCT scanner alongside significant investment in innovative multimodal functional imaging research, including AI and machine learning, to which our growing CSC expertise will be central. Trainees will also have opportunities to be involved in the work of well-established and expanding Radiotherapy and Diagnostic Radiology medical physics teams.
Trainees will be supported to explore, develop and pursue their interests and natural talents while contributing directly to improved patient care and outcomes. We are accredited as part of the London North Medical Physics Training Consortium, making available a diverse network of departments and trainees which offers significant training opportunities, collaborations, and peer support.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Richard Meades
Email: r.meades@nhs.net
Clinical Scientific Computing – Maidstone and Tunbridge Wells NHS Trust
Based in the Clinical Scientific Computing group at the Kent Oncology Centre, you will be involved in the development of software applications across medical physics and clinical engineering. We facilitate our trainees to complete their work-based training activities by providing sustainable solutions to various clinical challenges. Applications range from simple scripting and SQL queries to more complex solutions developed in languages such as python or C#.
Our goal is to develop your skills to fully prepare you to create and enhance our current clinical processes. You will be supported by a multidisciplinary team including our Radiotherapy Physics, Radiation Physics, Clinical Scientific Computing, Radiation Engineering and Clinical Engineering teams along with our colleagues in the Trust cyber security and informatics services.
You may be asked to spend approximately four weeks of your first year at other clinical engineering centres as part of your rotational competencies.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Stephen Duck
Email: stephen.duck@nhs.net
Clinical Scientific Computing – Northern Training Consortium
The NTC is a well-established training consortium of 8 Trusts in the North East and North Cumbria, working together to deliver high quality training in the Physical Sciences. We currently have 29 STP trainees in the region, an experienced workplace training team including a dedicated training co-ordinator, and a trainee network providing peer support. The NTC has a strong record of keeping STP trainees in the region once qualified.
This Clinical Scientific Computing post will be mainly based in Newcastle upon Tyne, but the trainee will be expected to travel to other locations within the NTC region for some training activities.
Local promotion details for post(s): Presentations from our open day on Jan 11th are available on our website https://northerntrainingconsortium.co.uk
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Judith Mott
Email: judith.mott1@nhs.net
Clinical Scientific Computing – Royal Surrey County Hospital NHS Foundation Trust
This STP post is based in the exciting Scientific Computing group (SciCom), one of the first dedicated clinical scientific computing groups in the NHS. SciCom works in full project life-cycles developing computing systems, from user requirements specification through implementation to testing and deployment. Application areas include clinical databases, research imaging archives for training deep-learning models, web-portals supporting day-to-day operations of the Trust and medical imaging routers, data extractors and de-identification tools. Work-place competencies will typically be completed through working on real-life tasks and software projects. Rotational and specialist modules will be completed primarily within SciCom, as well as within Medical Physics and Health Informatics teams at the Royal Surrey. The Introduction to Clinical Engineering rotation module will be completed during a 4-week placement at Oxford University Hospital NHS Foundation Trust.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Emma Lewis
Email: emmalewis7@nhs.net
Clinical Scientific Computing – University College London Hospitals NHS Foundation Trust
Local promotion details for post(s): This post is based in the Clinical Scientific Computing section of the Medical Physics and Biomedical Engineering department at UCLH. All aspects of the training will be covered while working in the department alongside a team of Scientists and Computing Analysts. The section operates a large server infrastructure that covers the departmental activities of Radiation Physics, Clinical Engineering and Clinical Scientific Computing. As well as closely affiliated department of Radiotherapy and Nuclear Medicine. And many clinical departments. While the curriculum is mostly covered by the work of all these areas we do also have contact with other healthcare organisations within London that allow trainees to have a wider ranging experience during the training. One rotational placement taking place at a private healthcare provider. Workplace competences will be achieved by working on real projects that contribute to the care of our patients.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Patrick Maw
Email: p.maw@nhs.net
Clinical Scientific Computing – University Hospital Southampton NHS Foundation Trust
Based in Imaging Physics at University Hospital Southampton (UHS) NHS Foundation Trust, our team design, develop, deploy and support imaging-based decision support software in addition to a variety of other bespoke clinical applications. We have a program of increasing automation and AI in our clinical software to safely improve clinical outcomes and drive efficiency improvements. We take significant roles in research projects, using our expertise to collect, curate and analyse healthcare data. We have built and operate under our BSI-certified ISO13485 Quality System for Medical Device Software Development, which is being gradually rolled out more widely across UHS in collaboration with our Digital Department. The demand for our expertise is ever-increasing, as the organisation works to achieve a digitally-enabled NHS, with ready access to decision support and AI, where comprehensive, secure and linked data support the provision of high-quality care. This post offers an excellent training opportunity for a motivated scientist in a supportive team in a large regional teaching hospital. The majority of work-based training is conducted in Southampton, however travel to other sites may be required.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: James Leighs
Email: scicom@uhs.nhs.uk
Clinical Scientific Computing – University Hospitals Birmingham NHS Foundation Trust
The Clinical Computing and Imaging Sciences Service (CCISS) provides scientific computing support to the Medical Physics division at University Hospitals Birmingham, particularly to the Radiotherapy Department, Radiotherapy Physics, Radiation Protection Service, and Imaging Departments. As a trainee in Clinical Scientific Computing (CSC) on the Scientific Training Program (STP) working within CCISS, you will have exposure to, and involvement in:
- Managing a virtualised environment, with a large number of Windows and Linux systems providing specialised clinical and scientific computing services.
- Managing and supporting multiple third-party systems including radiotherapy management and planning systems.
- Data extraction, analysis and reporting of data from these systems using well established tools.
- Developing and managing bespoke in-house software solutions to support the radiotherapy pathways.
Trainees are primarily based in the Cancer Centre at the Queen Elizabeth Hospital Birmingham site. During Year 1 rotations, there will be opportunities to work with other partnered hospital trusts, in the local area, to receive a wider breadth of training. Good transport links are available to all partnered trusts.
Expected MSc university location - may be subject to change
University of Manchester
Contact details for queries relating to location choice - for shortlisted applicants only
Name: Debra Balderson
Email: healthcarescience@uhb.nhs.uk