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
Specific
roles include:
Participating
in the development and implementation of novel clinical computer software
devices, applications and models within relevant quality and legislative
frameworks.
Applying
data science methods analysing clinical and technical datasets, medical
images and the results of computer simulations.
Working
with academics, scientists, other technologists and clinicians, supporting
multi-disciplinary research activity.
The
jobholder takes a specialist bioinformatics technologist role within medical
physics and clinical engineering and works 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.
In
addition, the jobholder will support 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.
Leeds
Teaching Hospitals is committed to our process of redeploying 'at risk'
members of our existing workforce to new roles. As such, all our job adverts
are subject to this policy and we reserve the right to close, delay or remove
adverts while this process is completed. If you do experience a delay in the
shortlisting stage of the recruitment cycle, please bear with us while this
process is completed, and contact the named contact if you have any
questions.
Job description
Job responsibilities
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.
They
will take a scientific computing role within Medical Physics and Clinical
Engineering working on other 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 will focus on supporting ongoing research
into tumour modelling and treatment response.
Specific
roles include:-
Participating
in the development and implementation of novel clinical computer software
devices, applications and models within relevant quality and legislative
frameworks.
Applying
data science methods analysing clinical and technical datasets, medical
images and the results of computer simulations.
Working
with academics, scientists, other technologists and clinicians, supporting
multi-disciplinary research activity.
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.
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
Job description
Job responsibilities
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.
They
will take a scientific computing role within Medical Physics and Clinical
Engineering working on other 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 will focus on supporting ongoing research
into tumour modelling and treatment response.
Specific
roles include:-
Participating
in the development and implementation of novel clinical computer software
devices, applications and models within relevant quality and legislative
frameworks.
Applying
data science methods analysing clinical and technical datasets, medical
images and the results of computer simulations.
Working
with academics, scientists, other technologists and clinicians, supporting
multi-disciplinary research activity.
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.
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
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.
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.
