The Biostatistics Group, part of the Health Methodology Research Group at The University of Manchester.
RESEARCH ASSOCIATE IN BIOSTATISTICS (TWO POSTS)
Salary Range: £28,839 - £31,514 p.a. (Grade 6)
Closing Date for applications: 14/10/2009
RESEARCH ASSOCIATE POST 1:
You will be working on a two year study, funded by the UK Medical Research Council, to investigate aspects of the efficacy of propanolol and atenolol in reducing mortality rates.
The project involves the development of statistical methods to quantify the direct and indirect causal effects of therapies, the application of methods to address the clinical and mechanistic questions and the dissemination of results within the medical research literature. This is an exciting opportunity for a researcher who wants to use their methodological skills to address current issues in medical research.
The project team includes statisticians and clinicians. Your responsibility will be to manage the database, to develop methodology, to write software as necessary, to perform analyses, and to communicate the results to statistical and non-statistical audiences.
You should have an MSc or PhD in Statistics, or equivalent, and experience of substantive data analysis. Knowledge of statistical methods for modelling longitudinal data is desirable as is an understanding of the problems of causal inference in medical research.
Further information, including how to apply is available on:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=165117
Informal enquiries to Dr Roseanne McNamee (Tel: + 44 (0) 161 275 5527/5764, Email: [log in to unmask])
RESEARCH ASSOCIATE POST 2:
Applications are invited for a research position in the Health Methodology Research Group to work on a Medical Research Council funded research project on statistical methodology. The aim of this work is to develop, evaluate and disseminate statistical methods (both design and analysis) for the evaluation and validation of social and psychological markers in randomised trials of complex interventions (psychological treatments) in mental health.
The interdisciplinary project team includes biostatisticians, economists and clinical scientists. The post will involve Monte Carlo simulation experiments, analytical work and data analysis. It will also involve reanalysis of data from trials of psychological treatments and the development of training workshops and other methods for dissemination of the project's findings. This in an exciting opportunity for a researcher who wants to develop and use their methodological skills to address current issues concerning causal inference in mental health research.
Applicants should have a postgraduate degree in medical or applied statistics or a related discipline (econometrics, psychometrics or quantitative methodology in the behavioural or social sciences) or equivalent and experience in the statistical analysis of health related data. Experience of statistical programming using STATA is desirable. Funding is available for 3 years to support this post.
The post is available for 36 months in the first instance.
Further information, including how to apply is available on:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=165116
Informal enquiries to Professor Graham Dunn ([log in to unmask]) or Dr Richard Emsley ([log in to unmask])
Tel: + 44 (0) 161 275 5764
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Dr Richard Emsley
Biostatistics, Health Methodology Research Group,
School of Community Based Medicine,
University Place (1.306),
University of Manchester,
Oxford Road,
Manchester. M13 9PL.
Tel: 0161 275 5664
http://www.medicine.manchester.ac.uk/staff/RichardEmsley
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