Department: Institute of Population Health Sciences
Salary: £38,084 - £44,807 (Grade 5)
Date posted: 27-Apr-2020
Closing date: 31-May-2020
Institute of Population Health Sciences
Centre for Clinical Trials and Methodology
Senior Clinical Trials Data Manager
£38,084 to £44,807 per annum
Applications are invited for the role of Senior Clinical Trials Data Manager in the Institute of Population Health Sciences, Queen Mary University of London.
The newly established Institute of Population Health Science is a world class, multidisciplinary grouping of academics. Its focus is on population health sciences, spanning public and global health, health services research, health policy, genomics and data science, behavioural and social sciences. IPHS delivers evidence to implement health system change for population benefit.
The Pragmatic Clinical Trials Unit is a fully registered UKCRC trials unit based within the Centre for Clinical Trials and Methodology. The PCTU leads and supports clinical trials in which the primary question of interest relates to intervention effectiveness: whether an intervention works under real-life conditions. It also carries out and supports pilot studies for these trials. The unit focuses particularly on trials of complex interventions. http://www.qmul.ac.uk/pctu.
We are looking for an enthusiastic and experienced Senior Data Manager to join our expanding team of highly motivated data management and IT staff in supporting a growing portfolio of clinical trials. This is an exciting opportunity to engage with a number of trial teams working on a variety of clinical trials in important priority areas for the NHS. These include trials exploring ways of delivering primary care, trials focusing on women's health and mental health, and trials related to bowel conditions and surgery.
The focus of the role will be to provide oversight on data management activities across the study lifecycle including planning and project-managing those activities, liaison with and advice to senior investigators and study teams, as well as gathering the information required and working with developers to ensure trial databases are developed to the required standard. It will also involve the development and review of relevant data management processes and documentation.
An undergraduate degree, with substantial relevant experience in data management is required. Also among the essential requirements are in-depth experience of liaising and advising senior research investigators and study teams, experience of developing and documenting data management processes and SOPs, as well as a good understanding of the regulatory framework around data management and information governance.
The post is a full time and fixed term appointment for 36 months, starting as soon as possible. Starting salary will be in the range £38,084 to £44,807 per annum, inclusive of London Allowance. Benefits include 30 days’ annual leave, pension scheme and interest-free season ticket loan.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
Informal enquiries should be addressed to firstname.lastname@example.org or on +44 (0)20 7882 6134
Details about the institute can be found at www.qmul.ac.uk/blizard/, and the PCTU at http://www.qmul.ac.uk/pctu
To apply for the role, please click the ‘apply’ button below.
The closing date for applications is 31 May 2020. Interviews are expected to be held shortly thereafter.
The School of Medicine and Athena SWAN Charter for Women in Science.
The School of Medicine holds a Silver Athena SWAN Award. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for childcare support. As part of the School’s commitment to the Athena SWAN principles we strongly encourage applications from women.
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