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Position: Postdoctoral Research Fellows - Statistician/Epidemiologist/Quantitative Social Scientist
Institution: University of Exeter
Department: Centre for Research in Ageing and Cognitive Health
Location: Exeter, Devon, United Kingdom
Duties: You will work with investigators and research team members to develop statistical analysis plans and carry out complex statistical analyses and modelling, using both cross-sectional and longitudinal data; You will oversee the statistical aspects of data capture and data management; You will have opportunities to participate in the development of bespoke statistical methods building on recent methodological advances; You may also contribute statistical skills to systematic reviews and other initiatives such as evaluation of existing and newly-developed measures and implementation outcomes; You will both lead on and contribute to study-related publications and you may be involved in preparing funding applications
Requirements: To apply for these posts you must have (or be near to completing) a relevant PhD or equivalent qualification; You will need advanced statistical and methodological skills (for example knowledge of one or more of the following: longitudinal data analysis, structural equation models, Bayesian methods, latent class modelling or item response theory); You will need excellent written and verbal communication skills and the ability to work collaboratively, supervise the work of others, advise team members on statistical and methodological issues, and act as team leader as required; You will have, or will be prepared to rapidly gain, sufficient knowledge of psychological and social aspects of ageing and/or dementia to enable you to develop and implement projects and supervise others
   
Text: Click to scroll to previous month. Hold mouse button to scroll automatically.Click to scroll to next month. Hold mouse button to scroll automatically.Click to select a month. undefined skip to job profile skip to job details Skip to main content Go back to the University of Exeter home page Home | Contact Us | Staff | Students | MyExeter | Site map | Follow @uoe_jobs Studying Research Business and community Working here Alumni and supporters Our departments Visiting us About us Our Vision | A Brief Profile of the University | Employee Benefits | Virtual Tour of the University | About Exeter and the South West Search for job Existing user login Forgotten password My applications My profile Contact us Job profile The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. Job details Job title Postdoctoral Research Fellows Job reference R60424 Date posted 23/04/2018 Application closing date 22/05/2018 Location Exeter Salary Salary will be £34,520 - £36,613 per annum subject to knowledge, skills and experience. Package Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable). Job category/type Research Job description College of Life & Environmental Sciences Centre for Research in Ageing and Cognitive Health Postdoctoral Research Fellows - Statistician/Epidemiologist/Quantitative Social Scientist The University of Exeter is a member of the prestigious Russell Group of research-intensive universities. We combine world-class teaching with world-class research, and have achieved a Gold rating in the Teaching Excellence Framework Award 2017. The University of Exeter has over 22,000 students and 4600 staff from 180 different countries and has been rated the WhatUni2017 International Student Choice. Our research focuses on some of the most fundamental issues facing humankind today, with 98% of our research rated as being of international quality in the 2014 Research Excellence Framework. We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. We are pleased to offer two outstanding opportunities for early-career researchers with exceptional statistical skills who wish to apply these skills to projects that will provide evidence to influence policy and practice in the field of ageing and dementia. One role is available from July 2018 on a full-time fixed term basis until December 2020 with an expected extension to December 2022 subject to review of progress with the project in 2020. The other role is available immediately on a full-time, fixed term basis for two years from the date of appointment (this may be extended depending on funding). Focus of the research: These two posts will focus primarily on the IDEAL programme (see www.idealproject.org.uk). IDEAL is a longitudinal cohort study of people living with dementia and carers that aims to identify what can be done to enable people to 'live well' with the condition. The IDEAL team is currently undertaking the third annual wave of data collection. IDEAL began in 2014, funded by an ESRC/NIHR large grant, and has been funded to continue for three further annual waves of data collection as an Alzheimer's Society Centre of Excellence. There may also be opportunities to work on other REACH projects. Key aspects of the role: - You will work with investigators and research team members to develop statistical analysis plans and carry out complex statistical analyses and modelling, using both cross-sectional and longitudinal data - You will oversee the statistical aspects of data capture and data management. - You will have opportunities to participate in the development of bespoke statistical methods building on recent methodological advances. - You may also contribute statistical skills to systematic reviews and other initiatives such as evaluation of existing and newly-developed measures and implementation outcomes. - You will both lead on and contribute to study-related publications and you may be involved in preparing funding applications. About you: - To apply for these posts you must have (or be near to completing) a relevant PhD or equivalent qualification. - You will need advanced statistical and methodological skills (for example knowledge of one or more of the following: longitudinal data analysis, structural equation models, Bayesian methods, latent class modelling or item response theory). - You will need excellent written and verbal communication skills and the ability to work collaboratively, supervise the work of others, advise team members on statistical and methodological issues, and act as team leader as required. - You will have, or will be prepared to rapidly gain, sufficient knowledge of psychological and social aspects of ageing and/or dementia to enable you to develop and implement projects and supervise others. - You will have a strong track-record of publications in relation to your career stage. Please ensure you read our Job Description and Person Specification for full details of this role. To view the Job Description and Person Specification document please click here In your application please indicate clearly how you meet the essential and desirable criteria for the post. About REACH: The successful applicants will join the lively and growing team in the Centre for Research in Ageing and Cognitive Health (REACH) based within the University of Exeter Medical School at our St Luke's campus (http://psychology.exeter.ac.uk/reach). REACH spans the School of Psychology, the University of Exeter Medical School Institute of Health Research, PenCLAHRC and the Wellcome Centre for Cultures and Environments of Health, and is a partner in the Australian Centre of Research Excellence in Cognitive Health, providing a superb environment in which to develop a research career. Additional professional support is available through the Medical Statistics Group within the University of Exeter Medical School. The post-holders will also benefit from the wider opportunities and support for career development provided by the University of Exeter, a Russell Group University in the top one per cent of institutions globally. For further information please contact Professor Linda Clare on e-mail l.clare@exeter.ac.uk or Dr Sharon Nelis on s.m.nelis@exeter.ac.uk Interviews are expected to take place on 18th June 2018. We welcome applications from candidates interested in working part-time hours or job-sharing arrangements. This role may be subject to additional background screening. The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer, an Athena Swan accredited institution and a Stonewall Diversity Champion. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. 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