We are looking for a part-time statistician for the NHS CHECK study. The post-holder will be experienced in working with large datasets consisting of longitudinal data, be responsible for managing and cleaning study data, creating scripts to run pre-defined statistical analysis, preferably in STATA and writing for publication.
The post-holder will join the NHS CHECK research team. NHS CHECK is a multi-site cohort study exploring the psychological impact of the COVID-19 pandemic on staff working at 18 NHS Trusts. The study is a large survey-based study which includes a baseline survey with follow ups at month 6, 8 and 12 and an interview component after the 6 month time point. Currently, the study includes over 17,000 participants but baseline recruitment is still on-going.
This is a very prestigious UKRI funded study which has Urgent Public Health Priority status, making it one of 50 (out of1300 submssions) Covid studies which are designated top national priorities for recruitment and delivery.
NHS CHECK is a collaborative effort led by a research team at King’s College London and King’s Health Partners supported by expert clinicians, frontline staff and researchers across different NHS Trusts and Universities, and the NIHR Maudsley Biomedical Research Centre. The successful applicant will work in an integrated, cross site multidisciplinary team.
You will be employed by the Department of Psychological Medicine, King’s College London where the post will be based and you will report to the NHS CHECK Project Manager and Chief Investigator. There is scope to increase the hours depending on funding.
This is a part-time post (40% FTE), a fixed-term contract until 22 September 2021.
- Coding to a high level in STATA software.
- Be responsible for managing and cleaning NHS CHECK study data.
- Leading on the development of statistical analysis plans.
- Developing and refining existing syntax and run pre-defined statistical analysis.
- Carrying out additional data analysis if and when required.
- Supporting the research team in producing results tables required for internal communications and briefing documents for stakeholders.
- Taking the lead in writing and contributing to scientific publications.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
- A degree in a numerate discipline (e.g. statistics, informatics, mathematics, epidemiology)
- Experience of working with longitudinal data and large data sets
- Experience of using Stata software
- Expertise in advanced statistical analysis (e.g. structural equation modelling, multi-level modelling etc.)
- An understanding of issues relating to data confidentiality and security
- Excellent organizational skills and accuracy with a high attention to detail
- Excellent verbal and written communication skills
- Experience of working with health-related research data
- Experience of constructing and using weighted data
- A PhD in a numerate discipline
- Experience of working in a multi-disciplinary team, self-motivated and able to work with limited supervision.
- Experience of writing scientific publications
- Ability to communicate complex statistical concepts and models to non-statisticians