Medical Statistician (Sys. Rev. & Meta-Analysis) – Grade 6/7 – 7th Aug 2018

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    Research Associate/Assistant ‘Medical Statistician – (Systematic Reviews & Meta-analysis)’, -Ref:1732436

    Link to UCL HR site, with details of how to apply

    MRC Clinical Trials Unit at UCL
    London
    Grades 6-7
    Full Time
    Salary(inclusive of London allowance):
    Grade 6B £30,316 – £31,967 per annum – Grade 7 £34,635 – £41,864 per annum

    Duties and Responsibilities
    The MRC Clinical Trials Unit is seeking a motivated individual to play a key role in an exciting 5-year programme of activity funded by a Prostate Cancer UK Innovation Award and the UK Medical Research Council (MRC), with worldwide collaborators. The programme has been developed to speed up the evaluation of treatments for metastatic (M1) prostate cancer.

    Ultimately, this will help give men faster access to life-saving treatments, by:
    • producing systematic reviews and network meta-analyses of aggregate and individual participant data (IPD) from randomised controlled trials (RCTs) of current therapies;
    • identifying and validating early outcomes for survival to help speed up future trials;
    • developing a repository of RCT data as a unique resource for the global prostate cancer community.
    • Liaison with the Repository manager and trial investigators/statisticians worldwide to ensure safe and secure transfer of trial IPD; developing data management plans, programmes and ensuring consistency.
    • Making a major contribution to the design and development of the Repository, and take primary responsibility for the day-to-day maintenance.
    • Developing statistical analysis plans and working procedures, and undertaking statistical analysis and meta-analyses of multiple trials.
    • Preparing and discussing of data and analysis reports.
    • Contributing to the production of abstracts and presentations for conferences, and papers for submission to medical journals.
    • Presenting results at Collaborators meetings and at conferences.
    • Contributing to the development and implementation of novel methods for systematic review design, conduct and analysis and their implementation in real-world settings.
    • Developing knowledge of the biology and epidemiology of prostate cancer, and of relevant statistical and methodological techniques.

    Key Requirements
    The successful candidate will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. S/he should have a good understanding of statistical concepts and of randomised controlled trials principles, as well as familiarity with one or more statistical packages, particularly in the context of data management. An understanding of systematic review principles and experience of using statistical methods in the analysis of individual participant data in a meta-analysis context are both desirable.

    S/he will have practical experience of statistical methods in analysing trial data, and experience of working with multi-disciplinary teams and preparing/presenting reports.

    S/he will have enthusiasm to manage a large repository of individual participant data and be able to communicate effectively and professionally with a wide range of stakeholders at all levels.

    Knowledge of the biology and epidemiology of cancer is desirable.

    Further information about the Institute is available via the ICTM website.

    If you have any queries regarding the vacancy or the application process, please contact Carole Booth on (c.peel@ucl.ac.uk) or for an informal discussion regarding the post please call either David Fisher (Tel: +44 (0)207 670 4646) or Dr Jayne Tierney (Tel: + 44 (0)20 7670 4724).

    UCL Taking Action for Equality
    We will consider applications to work on a part-time, flexible and job share basis wherever possible.

    Closing Date: 7 Aug 2018 23:59
    Interview date: TBC

    Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.
    This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

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