NICOR Information Analyst Principal (Statistician)
- SBH Site Management
- Band 8a
- Full time - 37.5 hours per week
- St Bartholomew's Hospital
- £52,643 - £58,558 per annum inc
- 02/07/2021 23:59
Barts Health is one of the largest NHS trusts in the country, and one of Britain’s leading healthcare providers.
The Barts Health group of NHS hospitals is entering an exciting new era on our improvement journey to becoming an outstanding organisation with a world-class clinical reputation. Having lifted ourselves out of special measures, we now have the impetus and breathing space to chart a fresh course in which we are continually striving to improve all our services for patients.
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Job Title: NICOR Principal Information Analyst (Statistician)
Job Type: Permanent
NHS Pay Band: 8A
The National Institute for Cardiovascular Outcomes Research (NICOR) is looking for an experienced and dynamic Principal Information Analyst (Statistician) on a full-time, permanent basis to lead and manage a team of information analysts, and take the information analytics platform to the next level.
NICOR is responsible for the management and delivery of the National Cardiac Audit Programme (NCAP) and a number of new health technology registries, including the UK TAVI registry. We are hosted by Barts Health NHS Trust and based at 1 St Martin’s Le Grand, adjacent to the Barts Heart Centre.
NICOR’s multi-disciplinary team collects, analyses and interprets vital cardiovascular data into relevant and meaningful information to promote sustainable improvements in patient well-being, safety and outcomes.
We recently implemented a new ICT platform for data collection, which underpins our strategies to harmonise the six national cardiovascular clinical audits into one programme; to enable us to report ‘real-time’ cardiovascular information for quality improvement and treatment outcome purposes; and to conduct clinical trials in registries. With support from our external partner organisations, we have made significant progress in the use of consistent and robust statistical and quality improvement methodologies across all six domains.
The key responsibilities of the role include:
- Leading and managing a team of analysts: to oversee the team’s performance thus ensuring successful delivery of the agreed work programme to agreed quality and timelines.
- Performing statistical analyses on large complex national cardiac audit datasets and providing statistical interpretation of data and expert analytical/statistical advice relating to national clinical audit, registries and clinical research.
- Evaluating the suitability of statistical methods: using a systematic approach to identify, standardise and fully document analytical methods for all domains of NCAP and to further develop the statistical methods, where required.
- Enhancing the data analyses and their interpretation and influencing the development of existing datasets to reflect the requirements of the audit programme.
The successful candidate will have:
- Master’s qualifications in Statistics or a closely related discipline;
- Expertise in statistical programming software, particularly working knowledge of R;
- Statistical experience in the application of advanced statistical and epidemiological methods, statistical modeling and methods for handling hierarchical data and missing data techniques;
- Expertise and knowledge of statistical modelling techniques, developing and implementing prognostic risk models, in clinical research and experience of working with clinically related healthcare information at a senior level including performing statistical analysis, interpretation of data, visualisation and presentation;
- Excellent communication and interpersonal skills, with a track record of working collaboratively as a team member and managing teams.
For an informal discussion about the role please contact James Chal, NICOR Chief Operating Officer: firstname.lastname@example.org
Documents to download
Further details / informal visits contact
- James Chal
- Job title
- NICOR Chief Operating Officer
- Email address