Job summary
Expected Shortlisting Date:
12/03/2025
Planned Interview Date:
25/03/2025
Applications are invited to join the Medical Physics Scientific Computing Group at Leeds Teaching Hospitals NHS Trust as a Technologist. This job offers an exciting opportunity to use your software development and data analysis skills at the centre of service improvement working with the latest healthcare technology. The role would be suitable for anyone with a background in the Natural Sciences, Computer Science, Data Science, Engineering or Informatics.
The jobholder provides bioinformatics services for medical physics and clinical engineering that enable and support operational services and research & development activity. The role will focus on supporting ongoing and future research into tumour modelling and treatment response.
This is a fixed term position with the potential for further development through programs such as the Scientist Training Program offered by the National School of Healthcare Science.
Main duties of the job
1. Participating in the development and implementation of novel clinical computer software devices, applications and models within relevant quality and legislative frameworks.
2. Applying data science methods analysing clinical and technical datasets, medical images and the results of computer simulations.
3. Working with academics, scientists, other technologists and clinicians, supporting multi-disciplinary research activity.
4. Supporting research projects in the areas of tumour modelling and treatment response.
About us
The Department of Medical Physics and Engineering in Leeds Teaching Hospitals NHS Trust provides a wide range of scientific and para-clinical services that entail the application of physics and engineering to healthcare. As well as serving Leeds Teaching Hospitals Trust, services are also provided to other Trusts in the Northern and Yorkshire region, and to some non-NHS customers.
Scientific computing in the Department of Medical Physics and Engineering supports and advances patient care by applying scientific and computing principles to computerised healthcare technology within the clinical bioinformatics field. Computerised healthcare technology is defined as computerised medical devices and clinical computer systems that are used either in isolation or interconnected for direct patient care.
Person Specification
Experience
Essential
* A high level of specialist knowledge backed up with significant post graduate experience working on scientific computer software development and/or data science.
* Specialist knowledge of bioinformatics techniques, methods and practices.
* Specialist knowledge in the management, implementation and use of computerised healthcare technology including an understanding of DICOM and HL7 communication protocols.
* Knowledge of relevant standards including ISO 13485; ISO 14971; ISO9001; ISO 27001; IEC 80001; DCB0129; DCB0160.
* Knowledge of using formal research methods.
Desirable
* Experience in the design and development of medical device software.
* Knowledge of clinical process, and experience of working in clinical teams.
* Knowledge of Medical Physics and Clinical Engineering techniques, methods and processes.
* Knowledge of medical equipment asset/task management systems.
Other Criteria
Essential
* Extensive, highly developed computing skills with advanced workmanship standards and skills in design & development.
* Complex problem solving and initiative when dealing with issues within own specialist area of competence.
* Skills to interpret and create technical documentation.
* Ability to apply a very high level of concentration when diagnosing and rectifying technical problems.
* Ability to concentrate for prolonged periods when analysing, designing and programming.
* Able to fulfil occupational health requirements for the post (with reasonable adjustments if necessary).
Skills & Behaviours
Essential
* Team working skills, flexibility, initiative, influencing and persuading skills, service focus and ability to learn.
* Leadership (empowering/motivating/developing others), interpersonal skills (communication), analytical skills (judgement/objective setting), organisational awareness/dynamism (self-confident/decisive).
* Ability to lead multi-disciplinary teams, for example during projects.
* Ability to communicate complex information.
* Ability to deal with complex and unpredictable situations.
Desirable
* Ability to train groups of other professional staff on complex technology.
* Ability to give presentations, seminars and teaching sessions.
Qualifications
Essential
* Bachelor level qualification in bioinformatics, computing, medical physics or clinical engineering/equivalent qualifications backed up with relevant experience working in the field.
* Formal training in computer programming; data/computer modelling; data science methods.
Desirable
* Registration as a Clinical Technologist, Healthcare Science Practitioner or equivalent level of professional standing (e.g. other HCPC regulated profession, MIPEM, MIoP, MIET, MBCS, etc.).
* Postgraduate qualification such as MSc or PhD bioinformatics, computing, medical physics or clinical engineering or equivalent.
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Employer details
Employer name
Leeds Teaching Hospitals
Address
St. James's University Hospital
Beckett Street
Leeds
LS9 7TF
Employer's website #J-18808-Ljbffr