PLEASE NOTE: This vacancy is now CLOSED
Research Assistant/Research Fellow (Medical Statistician), – Ref:1880997
Closing Date: 2 Jan 2022 (23:59)
Location: Division of Surgery and Interventional Science, UCL, London
Specific unit / Sub department: Department of Targeted Intervention
Salary: (inclusive of London allowance) Grade 6B £32,217 – £33,958 per annum or Grade 7 £36,770 – £44,388 per annum
Fixed term: This post is funded for 1 year in the first instance
Duties and Responsibilities
The UCL Division of Surgery and Interventional Science is a collaborative and cross-disciplinary environment where clinicians, scientists, engineers, and allied health professionals are constantly striving for innovative approaches to treatment and evaluation. Our aim is to improve patient and population health, and the delivery and the quality of healthcare.
Prof. Caroline Moore has been awarded an NIHR research Professorship, for the BESPOKE programme – Building and evaluating a Stratified Prostate Cancer pathway for Screening, Detection, Decision Support and SurveillancE. This will be carried out with the support of the National Cancer Imaging Translational Accelerator (NCITA) Clinical Trials Unit based at Charles Bell House, UCL.
The post-holder will work with Prof Mallett and Prof Moore on statistical analysis including diagnostic and prediction models for screening, diagnosis, and monitoring of prostate cancer. The post holder will be situated within a statistical team supporting other CR UK and NIHR funded trials. This will involve working within friendly multi-disciplinary teams.
The responsibilities of the post are commensurate with those expected of a Grade 7 Research Fellow but we will also consider applications from individuals at Grade 6B Research Assistant level with commensurate reduction in post duties, responsibilities and salary as indicated below.
This post is funded for 1 year in the first instance.
For appointment at Grade 7 candidates must have a PhD in Medical Statistics (or a closely related subject) and existing knowledge of the biology and epidemiology of a disease area, preferably cancer, and willingness to develop this knowledge is the relevant studies’ area.
Candidates must also have an MSc in Medical Statistics (or a closely related subject), or a relevant higher degree plus substantial relevant experience and a solid understanding of statistical concepts.
For further details and to apply for the vacancy please click here.
For enquiries regarding the application process please contact Stephanie Ball, Divisional Staffing Manager email@example.com and quote reference 1880997.
For informal enquiries about the role please contact Prof. Caroline firstname.lastname@example.org or Prof. Sue Mallet email@example.com