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Position: Senior Research Associate - Statistical Epidemiologist
Institution: University of Cambridge
Department: Medicine
Location: Cambridge, Cambridgeshire, United Kingdom
Duties: We are seeking to appoint a statistical epidemiologist to conduct real-world statistical analyses in the busy Global Health and Populations Research Group. The group assesses the burden and aetiology of chronic diseases among populations, integrating principles and procedures underlying epidemiology, genomics and public health, to develop and apply real-world evidence (RWE) with a strong focus on global health. The successful applicant will work on analysing real-world data (RWD) using electronic health records (EHRs). This will include planning and undertaking complex statistical analyses of longitudinal data with repeated measures to assess epidemiological associations between multiple exposures and disease outcomes
Requirements: We are looking for someone who has experience in data harmonisation and statistical analysis of large-scale RWD from electronic health record databases in the UK, informed by an understanding of the structure and format of these databases. They should be able to work independently to plan and deliver statistical analyses, as well as devise the statistical methodology for observational research projects. Furthermore, they should be able to evaluate existing statistical methods in different data contexts
   
Text: Senior Research Associate (Fixed Term) We are seeking to appoint a Senior Research Associate (statistical epidemiologist) to conduct real-world statistical analyses in the busy Global Health and Populations Research Group, co-located between the Wellcome Trust Sanger Institute and the University of Cambridge, led by Dr Manjinder Sandhu. The group assesses the burden and aetiology of chronic diseases among populations, integrating principles and procedures underlying epidemiology, genomics and public health, to develop and apply real-world evidence (RWE) with a strong focus on global health. The successful applicant will work on analysing real-world data (RWD) using electronic health records (EHRs). This will include planning and undertaking complex statistical analyses of longitudinal data with repeated measures to assess epidemiological associations between multiple exposures and disease outcomes. They will also provide statistical input into protocols, study reports and papers for publication. We are looking for someone who has experience in data harmonisation and statistical analysis of large-scale RWD from electronic health record databases in the UK, informed by an understanding of the structure and format of these databases. They should be able to work independently to plan and deliver statistical analyses, as well as devise the statistical methodology for observational research projects. Furthermore, they should be able to evaluate existing statistical methods in different data contexts. As a senior postholder in the research group, the successful applicant will also contribute statistical support to other global health research projects within the group as required; help to develop scientific goals for related projects and coordinate activities and interact with other members of the group so that goals are met; contribute to publications or disseminate research findings; and contribute to the process of securing funds. This post provides a unique opportunity to lead large-scale epidemiological studies involving statistical analyses of millions of individuals, in the context of population health globally. Appointment to Senior Research Associate is subject to approval by the Faculty Board of Clinical Medicine. Fixed-term: The funds for this post are available for 2 years in the first instance. To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form. Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. Closing date for applications is the 28th February 2018 with interview dates yet to be confirmed by the department. Please quote reference RC14708 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Further information Further Particulars Apply online Department/Location Department of Medicine Salary £39,992-£50,618 Reference RC14708 Category Research Published 7 February 2018 Closing date 28 February 2018
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