Undertake statistical analysis of large scale primary care data and systematic reviews with meta-analysis. Develop statistical models using logistic, Cox or other time-to-event risk prediction, developing new methodology where necessary. Contribute to analyses using causal inference techniques such as propensity scores and/or instrumental variable analysis. Assist with the writing of statistical analysis plans and scientific papers. Provide advice and liaise with other project members as part of a multi-centre collaborative team
Hold a relevant PhD/DPhil (or be close to completion), or, exceptionally, equivalent experience evidenced by a strong publication record. Familiarity with statistical modelling methods such as logistic and/or Cox regression. Ability to undertake a systematic literature review and meta-analysis. Experience of writing and contributing data analysis for scientific publication. Ability to manage own academic research and associated activities. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings
Researcher and Medical Statistician Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Oxford Grade 7: £31,604 - £38,833 p.a. An exciting opportunity has arisen for a postdoctoral researcher to join the new Stratified Medicines Research Group within the Nuffield Department of Primary Care Health Sciences. You will work under the supervision of Dr James Sheppard, on projects to develop risk prediction tools for the harms of cardiovascular prevention medications such as antihypertensives and statins. Initial projects will involve: a) the use of large primary care datasets such as the CPRD to develop risk prediction models for the risk of adverse events associated with blood pressure lowering therapy; b) using routine data to examine the association between treatment and side effects using causal inference techniques; c) undertaking systematic reviews using meta-analysis to combine data from previous clinical trials examining the association between treatment and side effects. Working with the department statistics group and the Stratified Medicines Research Group, you will also contribute towards the broader activities of the statistics group, for example to support the postgraduate teaching programme in Evidence-Based Health Care and to engage in other collaborative research projects. You will hold (or be close to completing) a relevant PhD/DPhil or, exceptionally, have equivalent experience, evidenced by a strong publication record. You will be familiar with statistical modelling methods, such as logistic and/or Cox regression, and have the ability to undertake a systematic literature review and meta-analysis. Experience of writing and contributing data analysis for scientific publication is essential. The post is full-time, fixed-term for 3 years in the first instance, with potential to extend. The closing date for applications is 12.00 noon on Friday 14 September 2018. We aim to hold interviews on 3 October 2018. Contact Person : HR Assistant Vacancy ID : 136464 Contact Phone : 01865 617962 Closing Date : 14-Sep-2018 Contact Email : firstname.lastname@example.org Click on the link(s) below to view documents Filesize 136464 Researcher Medical Statistician Job description 166.6
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