Job Description

Job number

MED05255

Faculties

Faculty of Medicine

Departments

School of Public Health

Salary or Salary range

55,144 - 65,073 per annum

Location/campus

White City Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

28 Aug 2025

About the role

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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

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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

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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

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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 39 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. Interest-free season ticket loan schemes for travel. 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

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This is a full time, fixed term contract for 3 years in the first instance based in the Imperial Clinical Trials Unit, White City Campus.



If you require any further details about the role, please contact Professor Victoria Cornelius (v.cornelius@imperial.ac.uk).

This is a readvertisement, so previous candidates need not re-apply

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If you experience any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.



Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.



As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.



This is your chance to help shape the future. We hope you'll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.



Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.