We are seeking an enthusiastic, dynamic, and motivated Clinical Data Manager with an interest and experience in clinical studies and data stewardship to work on a diverse portfolio of studies that aim to understand how to protect people against respiratory viral infections, within the Section of Adult Infectious Diseases as part of Professor Chris Chiu’s research group ().
Respiratory viral infections are among the most important causes of severe disease and death worldwide. The overall theme of this research programme is to understand the factors associated with susceptibility to infection and disease in human beings through translational studies of SARS-CoV-2, RSV and influenza virus, and next-generation vaccines.
Professor Chiu is a leading expert in the field of Controlled Human Infection (CHI) Studies. This specialist study design involves the deliberate infection of healthy volunteers
Working as part of a multidisciplinary team, you will work with the clinical programme management team and research staff to design, build, test and maintain trial specific clinical databases and any other databases or systems that are required for the efficient running of the studies
You will play a key role in the identification, collation, management, harmonisation and analysis of both clinical trial and laboratory data generated in these translational studies.
You will also have the opportunity to develop and establish processes to ensure clinical and laboratory data meet findability, accessibility, interoperability, and reusability (FAIR) data principles.
1. Exceptional analytical thinking, attention to detail and experience of working with large heterogeneous datasets
2. Prior data management experience in health informatics, epidemiological or clinical trial research, biobanks, or electronic health records (. in primary care or hospital care)
3. Knowledge of R as well as clinical trial database platforms (. REDCap or OpenClinica)
4. Experience with SQL and managing relational databases (SQL Server Management Studio) would be desirable
5. The opportunity to work across multiple clinical studies and with partners both within and outside the UK to undertake and deliver training in data stewardship according to FAIR data principles
6. The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity
7. Benefit from a sector-leading salary and remuneration package (including 39 days’ annual leave and generous pension schemes)
8. Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme
9. Interest-free season ticket loan schemes for travel
10. Be part of a diverse, inclusive and collaborative work culture with various and resources to support your personal and professional