The Intensive Care National Audit & Research Centre (ICNARC) has an outstanding national and international reputation for clinical audit and clinical and health services research. This is an exciting opportunity for an enthusiastic and ambitious statistician to join our dynamic team led by our Head Statistician, Professor David Harrison.
You will be involved in statistical delivery of national clinical audits, clinical trials and health services research studies from design through to dissemination, with opportunities for authorship of peer-reviewed publications and presentations at national and international meetings/conferences. You will also have the opportunity to be involved in statistical/methodological research.
Substantial, multi-year grant funding supports our broad portfolio of national and international collaborative research studies (conducted within our UKCRC Registered Clinical Trials Unit) conducted to influence and inform the policy and practice of adult and paediatric emergency and critical care in the UK and globally. Our research portfolio is underpinned by cutting-edge, statistical/methodological research including novel clinical trial designs, methods for non-randomised comparisons, handling of missing data and statistical modelling.
Landmark publications have included:
– PRISM Investigators. Early, goal-directed therapy for septic shock – a patient-level meta-analysis. N Engl J Med 2017; 376:2223-34.
– Mouncey PR et al. Trial of early, goal-directed resuscitation for septic shock. N Engl J Med 2015; 372:1301-11.
– Harvey SE et al. Trial of the route of early nutritional support in critically ill adults. N Engl J Med 2014; 371:1673-84.
– Pearse RM et al. Effect of a perioperative, cardiac output-guided, hemodynamic therapy algorithm on outcomes following major gastrointestinal surgery: a randomized clinical trial and updated systematic review. JAMA 2014; 311:2181-90.
Applicants should hold a MSc or PhD in a relevant area and have experience in analysis of healthcare data. You will have knowledge of programming in standard statistical software, for example Stata, SAS or R, and excellent communication skills.
We understand the need for staff to balance personal commitments and family life with work. We are proud of our range of policies to support staff and include; flexitime, enhanced maternity and paternity provisions, working at home and flexible working.
Read more: What we offer
To apply for the role, please email your CV and covering letter to email@example.com
Shortlisting for this role will take place as applications are received. We reserve the right to close this vacancy once a suitable candidate has been appointed.
We welcome applications from all sections of the community and offer excellent work-life balance policies for all staff.