Clinical Scientist in Clinical Scientific Computing

If you are a clinical scientist specializing 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 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!

Main duties of the job

You will work closely with the 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. You will develop strong and productive working relationships with clinicians, scientists, and clinical managers.

You will be part of a specialist team that has significant commitments to support clinical services in Neurophysiology, Women's Health Radiotherapy, Proton Beam Therapy, Nuclear Medicine, and Sterile Services. The team also has a key role in implementing and managing systems that cover many other clinical areas.

You will use your organizational skills to manage projects involving 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.

About us

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 specializes 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.

Job description

Job responsibilities

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

Person Specification

Knowledge and Qualifications

Essential

• 1st or 2nd class honours degree in computer science, a physical science, engineering, or equivalent
• MSc / MEng in a relevant field, or an equivalent level of knowledge obtained through a combination of qualifications and experience.
• State Registration as a Clinical Scientist / able to register within 3 years of appointment.
• Corporate Membership of relevant professional institutes (eg IPEM, IET)

Scientific & Technical

Essential

• 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.
• Broad 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.
• Broad knowledge of statistics and mathematics applied to acquiring reliable insight from data.
• Broad 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

Essential

• Knowledge of clinical practice and the implications for clinical scientific computing.
• Basic knowledge of relevant anatomy, physiology, and pathology.
• Understanding of the potential risks to patients, staff, and organizations arising from system failure, human error, and clinical scientific computing practice.
• Knowledge and understanding of quality and risk management as they apply to clinical scientific computing.

Management & Leadership

Essential

• Understanding of quality and performance management and their application to a clinical scientific computing service.

Desirable

• Knowledge of how to offer effective supervision.
• Knowledge of appropriate standards and systems of financial accountability in a public sector organization.

Scientific & Technical

Essential

• 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 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 at least one programming language used for research (such as C, C++, Fortran, Javascript, Julia, Python, or R) at a level and breadth commensurate with seniority.
• Experience of programming both applications and systems.

Desirable

• Experience of managing IT projects.
• 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.

Management & Leadership

Essential

• Experience of providing services in a scientific healthcare environment.

Desirable

• Experience of supervising junior staff and trainees.
• Experience of managing resources and project budgets.
• Experience of identifying service development opportunities.
• Experience of participating in committees/working groups involving scientific and technical information.

Employer details

Employer name

University College London Hospitals NHS Foundation Trust

Address

University College London Hospital

235 Euston Road

London

NW1 2BU

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