Job summary
Applications are invited to join the Clinical
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, Clinical
Scientific Computing or Bioinformatics (Physical Sciences/Heath Informatics)
with an interest in software development and data analytics.
Expected Shortlisting
Date
15/04/2026
Planned Interview
Date
29/04/2026
Main duties of the job
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 clinical 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.
About us
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.
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 Clinical 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, Clinical Scientific Computing 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).
Job description
Job responsibilities
Applications
are invited to join Clinical 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, Clinical Scientific Computing 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).
Person Specification
Experience
Essential
- A high level of knowledge backed up with experience working on scientific computer software development and/or data science.
- Specialist knowledge of clinical scientific computing 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 and experience 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.
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 (oral communication), analytical skills (judgement, objective setting), organisational awareness and dynamism (self-confid
- Ability to lead multi-disciplinary teams.
- Ability to communicate complex information. Ability to deal with complex and unpredictable situations.
Desirable
- Ability to give presentations, seminars and teaching sessions, sometimes to large audiences
- Ability to train groups of other professional staff on complex technology.
Additional Requirements
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.
Qualifications
Essential
- Master level qualification in bioinformatics, computing, medical physics or clinical engineering or an equivalent qualification backed up with relevant experience working in the field.
- Registration as Clin Scientist/Clin Technologist or equivalent level professional standing (other HCPC regulated profession/MIPEM/MIoP/MIET/MBCS/AHCS registered) or plan to obtain registraition 12mths
Desirable
- Formal training in computer programming; data/computer modelling; data science methods.
Person Specification
Experience
Essential
- A high level of knowledge backed up with experience working on scientific computer software development and/or data science.
- Specialist knowledge of clinical scientific computing 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 and experience 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.
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 (oral communication), analytical skills (judgement, objective setting), organisational awareness and dynamism (self-confid
- Ability to lead multi-disciplinary teams.
- Ability to communicate complex information. Ability to deal with complex and unpredictable situations.
Desirable
- Ability to give presentations, seminars and teaching sessions, sometimes to large audiences
- Ability to train groups of other professional staff on complex technology.
Additional Requirements
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.
Qualifications
Essential
- Master level qualification in bioinformatics, computing, medical physics or clinical engineering or an equivalent qualification backed up with relevant experience working in the field.
- Registration as Clin Scientist/Clin Technologist or equivalent level professional standing (other HCPC regulated profession/MIPEM/MIoP/MIET/MBCS/AHCS registered) or plan to obtain registraition 12mths
Desirable
- Formal training in computer programming; data/computer modelling; data science methods.
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.
