Senior Clinical Scientist in Clinical Scientific Computing

Permanent
Full Time
Public Sector Jobs
London, United Kingdom
Job Description
Senior Clinical Scientist in Clinical Scientific Computing NHS AfC: Band 8a Main area Medical Physics Computing Grade NHS AfC: Band 8a Contract Permanent Hours Full time - 37.5 hours per week Job ref 309-UCLH-5974

Site Elizabeth Garrett Anderson Wing, University College London Hospital Town London Salary £61,927 - £68,676 Per annum inclusive of HCAS Salary period Yearly Closing 16/03/:59

The use of AI is monitored and if applicants have used it, then they are required to declare this in their supporting statement.

Job overview If you are a clinical scientist, specialising in clinical scientific computing, and passionate about making a positive difference to the delivery of healthcare within a leading London NHS Trust, keep reading! We have a vacancy for a senior clinical scientist to join our Clinical Scientific Computing team within the Department of Medical Physics and Biomedical Engineering at UCLH.

We are looking for a state registered clinical scientist, but welcome candidates with appropriate experience who could attain registration, via the equivalence route, within 3 years. You would be joining the team at a time of change, as we re-align to meet the challenges facing the Trust, support new digital technology, strengthen our interactions with clinical and technology stakeholders, and develop to provide a full range of scientific computing services. If you understand the importance of developing your emotional intelligence, big picture thinking and communication skills alongside your scientific skills we'd like to talk!

You will work closely with the Head and Deputy Head of Clinical Scientific Computing as well as clinical scientists and analysts within Clinical Scientific Computing and other members of staff within Medical Physics.

Main duties of the job You will develop strong and productive working relationships with clinicians, scientists and clinical managers and also with staff in UCLH Digital Healthcare Technology and their commercial partners.

We have significant commitments to support clinical services in Radiotherapy, Proton Beam Therapy, Nuclear Medicine, Sterile Services, Neurophysiology and Women's Health but have a key role in implementing and managing systems that cover many other clinical areas. You will be part of a specialist team providing some on-call support and extended hours support to Radiotherapy and Proton Beam Therapy.

You will use your organisational skills to manage projects involving multiple clinical, commercial and technical stakeholders, whilst also bringing your technical and scientific skills and your understanding of the regulatory requirements, risk and quality management to evaluate, specify, implement and manage clinical systems.

We have close links with UCL and are accredited by the National School of Healthcare Science to support trainees in Clinical Scientific Computing. We want you to take an active role in supporting research, development and innovation and will be keen to understand and support you to use your strengths and develop your interests whether they be in programming, data science, AI or another area of clinical scientific computing.

Working for our organisation University College London Hospitals NHS Foundation Trust (UCLH) is one of the most complex NHS trusts in the UK, serving a large and diverse population. We provide academically led acute and specialist services, to people from the local area, from throughout the United Kingdom and overseas. Our vision is to deliver top-quality patient care, excellent education, and world-class research.

We provide first-class acute and specialist services across eight sites:

  1. University College Hospital (incorporating the Elizabeth Garrett Anderson Wing)
  2. National Hospital for Neurology and Neurosurgery
  3. Royal National ENT and Eastman Dental Hospitals
  4. University College Hospital Grafton Way Building
  5. Royal London Hospital for Integrated Medicine
  6. University College Hospital Macmillan Cancer Centre
  7. The Hospital for Tropical Diseases
  8. University College Hospital at Westmoreland Street
We are dedicated to the diagnosis and treatment of many complex illnesses. UCLH specialises in women's health and the treatment of cancer, infection, neurological, gastrointestinal and oral disease. It has world class support services including critical care, imaging, nuclear medicine and pathology.

We are committed to sustainability and have pledged to become a carbon net zero health service, embedding sustainable practice throughout UCLH. We have set an ambitious target of net zero for our direct emissions by 2031 and indirect emissions by 2040.

Detailed job description and main responsibilities For the full Person Specification and more information regarding the main responsibilities of this role, please refer to the attached Job Description.

Come and be a part of the best NHS trust in England to work for, according to our staff

In the most recent NHS staff survey UCLH had the highest percentage of staff who said they would recommend us as a place to work, out of all general acute or acute/community NHS trusts in England - for the second year in a row.

UCLH top trust to work at in England - for the second year running! University College London Hospitals NHS Foundation Trust.

Once again, UCLH has received the highest score of all general acute and acute/community NHS trusts in England for staff that would recommend us as a place to work.

To discover more about what makes UCLH a great place to work, visit: Why Choose UCLH?

Person specification - Knowledge and Qualifications
  • 1st or 2nd class honours degree in computer science, a physical science, engineering, or equivalent
  • Relevant PhD or equivalent (MSc / MEng with additional specialist training or research experience)
  • State Registration as a Clinical Scientist / able to register within 3 years of appointment.
  • Corporate Membership of relevant professional institutes (eg IPEM, IET)
  • Chartered Engineer or Chartered Scientist
  • Evidence of training and development in Leadership & Management
Scientific & Technical
  • Broad knowledge across the full range of working procedures and practices in clinical scientific computing including relevant legislation, national and international standards, NHS policy, and professional and other guidelines.
  • Advanced knowledge of software engineering best practices (including issue tracking, testing, documentation, version control and continuous integration) that enable the delivery of reliable, sustainable and trustworthy outputs
  • Advanced knowledge of statistics and mathematics applied to acquiring reliable insight from data.
  • Advanced knowledge of computer hardware and software at both operating system and application level and also of medical device IT systems.
  • Broad knowledge of architecture, configuration, security and performance management of networks using TCP/IP protocols
  • Broad knowledge of security issues associated with computer systems within the Trust, NHS and health sector, and the measures required to address these.
  • Broad knowledge of data management, including storage, archive, backup and data publication technologies
  • Broad knowledge of medical devices and of other areas of medical physics and clinical engineering practice and procedure.
Clinical
  • Knowledge of clinical practice and the implications for clinical scientific computing.
  • Basic knowledge of relevant anatomy, physiology and pathology.
  • Advanced understanding of the potential risks to patients, staff and organisations arising from system failure, human error and clinical scientific computing practice
  • Advanced knowledge and understanding of quality and risk management as they apply to clinical scientific computing.
  • Knowledge of how to offer effective supervision.
  • Understanding of quality and performance management and their application to a clinical scientific computing service.
  • Knowledge of appropriate standards and systems of financial accountability in a public sector organisation
Scientific & Technical
  • Significant experience of a scientific healthcare environment
  • Experience of managing computer operating systems especially Unix and Windows
  • Experience of a wide variety of computing systems and application packages
  • Experience of managing IT systems in a clinical environment
  • Experience of managing IT projects
  • Experience with the core tools of data science and analytics, in a programmatic framework such as R, Python, or Julia
  • Experience with at least one specialist technique or tool in data analytics, such as natural language processing, neural networks, Bayesian inference, Gaussian processes.
  • Experience with the authorship, development, testing and maintenance of software for clinical research & development. This might include (but is not limited to) software supporting data processing and statistical analysis, image analysis tools, front- and back-end web development, mobile apps, high-performance simulation software, or mathematical software.
  • Experience of programming both applications and systems
  • Experience in the supervision of research and development work.
  • Experience of holding grants and supervising research workers.
  • Significant experience of providing services in a scientific healthcare environment.
  • Experience of supervising staff and trainees.
  • Experience of participating in . click apply for full job details