We wish to recruit an enthusiastic and innovative individual to the role of Research Associate in Medical Statistics, as part of the CFHealthHub project. CFHealthHub (CFHH) is a digital self-care and behaviour change platform, extensively co-designed with patients and embedded in over 70% of adult cystic fibrosis (CF) units in the UK. It is designed to support adherence to treatment in adults with CF, by enabling smarter care through personalisation and empowerment of clinical teams. CFHH provides a rich digital learning health system using data provided by people with CF and their clinical teams to test digital and behavioural interventions at scale.
The primary purpose of this role is to provide the necessary statistical expertise to ensure that data within CFHealthHub are utilised in well-designed studies to further our knowledge about the management of long term conditions and improve care. These studies include retrospective observational studies and prospective studies including randomised experiments. By feeding back research findings to people with CF and their clinical teams, the care and support provided to people with CF can be improved.
This is a full-time post until 30th September 2022, in the first instance, to start asap. The successful candidate will hold a PhD or equivalent in statistics or a related subject, and have extensive theoretical and practical knowledge in statistical knowledge and programming.
Include: background, duties, essential skills and experiences, start date, length of contract, full or part-time. Try to keep it to 150 words.
The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit:
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Matthew Sperrin
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.