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Two NIHR Research Methods Fellowships at the University of Bristol These NIHR Fellowships provide an exciting opportunity for two highly able graduates to start a career in health research, undergoing two years of research training in the application of statistical methods to the conduct of clinical research and the analysis of the resulting data. For both posts a good honours degree (2.1 or higher) or equivalent with a substantial mathematical or statistical content is required. The successful applicants will be self-motivated, clear communicators, and able to demonstrate their enthusiasm for applying mathematical ideas to real world problems. The fellows will develop their knowledge and skills by attending formal postgraduate level training, and by making an important contribution to the work of their supervisors’ research groups. FELLOWSHIP 1. Supervisors: Prof Tim Peters, Dr Chris Metcalfe, Prof William Hollingworth (JOB REF ACAD100134) This fellow will work within the multi-disciplinary environment at the School of Social and Community Medicine, University of Bristol. The School has an outstanding track record in epidemiological and health services research, and provides a stimulating environment in which junior research staff thrive. The fellow will be supervised in a programme of several interconnected projects aimed at establishing appropriate methods of estimating cost-effectiveness in RCTs when adherence to allocated treatment is incomplete. Projects will include a systematic review of the methods currently used in published research studies, and an evaluation of whether these methods are giving unbiased estimates of cost-effectiveness. Underpinning this work, the fellow will attend postgraduate short courses on relevant topics such as statistical analysis, use of statistical software, systematic review methods, collection and analysis of health economic data, and randomised controlled trial conduct and analysis. Contact: Dr Chris Metcalfe School of Social and Community Medicine [log in to unmask] 0117 928 7326 Grade: Level a in Pathway 2 Salary: £30,122 to £34,895 FELLOWSHIP 2. Supervisors: Prof Gianni Angelini, Dr Chris Rogers (JOB REF ACAD100133) This fellow will be based within the Clinical Trials and Evaluation Unit, Bristol Heart Institute, University of Bristol, part of the School of Clinical Sciences. The Institute has an outstanding track record in early phase translational cardiovascular research, facilitated by the NIHR Bristol Cardiovascular Biomedical Research Unit (BRU) and the Clinical Trials and Evaluation Unit is core to the design and delivery of the clinical research. The design of cardiovascular studies and the data arising from them present many methodological challenges. The fellow will receive advanced training in clinical trial design and medical statistics and will undertake projects, drawn primarily from the portfolio of the BRU. The projects will be chosen by the fellow in in conjunction with the supervisors, to provide the best range of experience. Examples include (i) optimising analyses of longitudinal biomarker data taking account of data missing at random and missing because concentrations are outside the range of the assay and (ii) optimising the analyses of multiple outcome parameters available from cardiac magnetic resonance imaging. Underpinning this work, the fellow will attend postgraduate short courses on relevant topics such as statistical analysis of longitudinal data, use of statistical software, systematic review methods, and randomised controlled trial conduct and analysis. Contact: Dr Chris Rogers Clinical Trials and Evaluation Unit School of Clinical Sciences [log in to unmask] 0117 342 2507 Grade: Level a in Pathway 2 Salary: £30,122 to £34,895 FOR BOTH FELLOWSHIPS: Closing date: 2pm, Thursday 3rd January 2013 Interview date: Friday 11th January 2013 Start date: By 31 March 2013; this is a contractual requirement of the funders and cannot be extended. FURTHER DETAILS can be obtained by going to http://www.bristol.ac.uk/jobs/find/index.html and searching by the job reference numbers given above. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.