
Clinical Scientist in Clinical Scientific Computing
- London
- £56,276-63,176 per year
- Permanent
- Full-time
- UCLH top trust to work at in England - 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 third year in a row.
- UCLH top trust to work at in England - 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 third year in a row.
- 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)
- 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 and version control with Git) that enable the delivery of reliable, sustainable and trustworthy outputs
- Broad knowledge of statistics and mathematics applied to acquiring reliable insight from data
- 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)
- 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 and version control with Git) that enable the delivery of reliable, sustainable and trustworthy outputs
- Broad knowledge of statistics and mathematics applied to acquiring reliable insight from data