Job summary
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
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 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 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).
Job description
Job responsibilities
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).
Person Specification
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 (self-confidence/decisiveness
- 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.
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 a Clinical Scientist or Clinical Technologist or equivalent level of professional standing (e.g. other HCPC regulated profession, MIPEM, MIoP, MIET, MBCS, AHCS registered, etc.)
Desirable
- Formal training in computer programming; data/computer modelling; data science methods.
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.
Experience
Essential
- A high level of knowledge backed up with 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 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.
Person Specification
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 (self-confidence/decisiveness
- 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.
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 a Clinical Scientist or Clinical Technologist or equivalent level of professional standing (e.g. other HCPC regulated profession, MIPEM, MIoP, MIET, MBCS, AHCS registered, etc.)
Desirable
- Formal training in computer programming; data/computer modelling; data science methods.
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.
Experience
Essential
- A high level of knowledge backed up with 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 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.
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.
UK Registration
Applicants must have current UK professional registration. For further information please see
NHS Careers website (opens in a new window).
Additional information
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.
UK Registration
Applicants must have current UK professional registration. For further information please see
NHS Careers website (opens in a new window).
