Location: | London, Hybrid |
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Salary: | £40,015 to £46,618 Grade 4, per annum, inclusive of the London Allowance (pro rata if a part-time position is taken). |
Hours: | Full Time, Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 22nd August 2025 |
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Closes: | 14th September 2025 |
Job Ref: | 6019 |
About the Role
Applications are sought for an exciting opportunity within the Barts Cardiovascular Clinical Trials Unit (CVCTU) as a Statistician. This role will be responsible for the statistical activities for several clinical trials in the CVCTU portfolio, including creating statistical analysis plans, reporting to trial oversight committees, and leading statistical analyses. In addition, research opportunities within cardiovascular research may arise from collaborations with the CVCTU director and academic leads. Practical on-the-job training will be available within this role and the candidate will work alongside a talented team of trial coordinators and data managers to set-up, run and complete clinical trials in cardiovascular research.
About You
The successful candidate will be expected to have a background in statistics or health research and an interest in building a career as a medical statistician. They should be enthusiastic, curious, and eager to develop an understanding of the statistical processes involved in clinical trials. They should have good computer skills with experience in one or more statistical programming languages, and excellent communication skills suitable for working with a diverse range of collaborators.
About the School/Department/Institute/Project
The Barts Cardiovascular Clinical Trial Unit (Barts CVCTU) is a clinical trials unit specialising in clinical trials relayed to cardiovascular and metabolic health. Our current portfolio includes a range of studies such as parallel arm RCTs examining interventions on a national or international scale, and smaller-scale studies examining the ability of devices to monitor cardiovascular conditions. Further studies being adopted by the CVCTU include a registry study examining the relationship between sex hormones and cardiovascular outcomes and upcoming RCTs examining the impact of dietary supplements on long-term outcomes.
This diverse portfolio provides the opportunity for an upcoming medical statistician to experience contributing to studies with a variety of study designs and statistical needs. For more information about the current CVCTU portfolio please visit: Barts Cardiovascular Clinical Trials Unit (CVCTU) - The William Harvey Research Institute - Faculty of Medicine and Dentistry
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
The role is a hybrid position with an expectation of travelling to the Charterhouse Square Campus in London at least one day a week. This position is offered on a full-time or part-time (minimum of 21 hours per week), fixed term contract of one year in the first instance with the possibility to extend provided further external funding is available.
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