Senior Statistician/ Research Fellow

Location: White City campus / Hybrid

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.

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.

What we are looking for:

• You will have a PhD or equivalent experience in statistics, medical statistics, or a related mathematical field
• Knowledge and experience of randomised controlled trials, including adaptive trial design and analysis
• You will have evidence of having made a significant contribution to writing proposals
• You will have a record of high-quality publications in international peer-reviewed journals in clinical trials or clinical trial research methods
• Evidence of teaching and teaching support
• A motivated, well-organised person with a creative approach to problem-solving.
• You will collaborate effectively within a team, demonstrating openness and a cooperative attitude.
• Willingness to travel both within the UK and abroad to conduct research and attend conferences

What we can offer you:

• A supportive, inclusive team environment where your contributions matter.
• The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
• Benefit from a sector-leading salary and remuneration package (including 41 days’ annual leave and generous pension schemes).
• 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.
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further Information

The role is based in the Imperial Clinical Trials Unit, White City.

This is a full time, fixed term contract for 3 years in the first instance.

For more details, please contact Professor Victoria Cornelius (v.cornelius@imperial.ac.uk).

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