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ABOUT THE ROLE

We are looking for an ambitious senior statistician with experience in clinical trials and an interest or experience in the design and analysis of adaptive trials. You will lead the clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with the programme with support from senior colleagues. You will collaborate on research funding proposals with clinical colleagues and develop your own funding applications for statistical methods research.
You will be based at the Imperial Clinical Trials Unit, where you will join a large and supportive group of statisticians working on clinical trials to lead on this exciting new exciting partnership between Imperial College London and Imperial College Healthcare NHS Trust, the Fleming Initiative, which aims to tackle antimicrobial resistance (AMR) through a people-centred and convergence science approach.
The Initiative is run under the Directorship of Professor Alison Holmes. This project falls within the ‘Put the patient first’ stream and is co-led by Dr Timothy Rawson and Professor Victoria Cornelius. The project involves conducting a data-enabled trial with the ultimate aim to tackle antimicrobial resistance and preparing for the development and funding for a SMART trial. The postholder will work closely with project team members and provide statistical support across related work packages to the trial. They will oversee all aspects of the trial design, implementation, conduct, and analysis, including expert statistical advice, development of study protocols and statistical analysis plans. There will be opportunity to undertake related methodology projects in SMART trial designs

WHAT YOU WOULD BE DOING

• Design and analyse adaptive and non-adaptive clinical trials, preparing reports as required
• Provide statistical support in all aspects of trial design, implementation, conduct, and analysis, including expert statistical advice, development of study protocols and statistical analysis plans.
• Work autonomously and with initiative, being able to prioritise and manage your workload efficiently.
• Develop funding applications for collaborative trials and your own statistical methods research with support from senior colleagues.