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Position: Research Fellow Medical Statistician
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: Using longitudinal EHR phenotype information, the post-holder will be expected to plan and execute analyses and visualise and interpret the results for communication to clinical and scientific audiences. The precise focus will be developed, based on matching the scientific opportunity with the skills and experience of the post-holder
Requirements: You will have an PhD in Medical Statistics, Epidemiology, Genetic Epidemiology or similar with a keen interest in applications on complex statistical and computational models to the analysis of EHR data. You are comfortable in the development of statistical tools software tools (R, STATA), running applications in large computer clusters
   
Text: Research Fellow ? Medical Statistician, - Ref:1785784 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities Using longitudinal EHR phenotype information, the post-holder will be expected to plan and execute analyses and visualise and interpret the results for communication to clinical and scientific audiences. The precise focus will be developed, based on matching the scientific opportunity with the skills and experience of the post-holder. This post is funded for one year until March 2020 in the first instance, and suitable candidates will be supported in applications for fellowships. Key Requirements You will have an PhD in Medical Statistics, Epidemiology, Genetic Epidemiology or similar with a keen interest in applications on complex statistical and computational models to the analysis of EHR data. You are comfortable in the development of statistical tools software tools (R, STATA), running applications in large computer clusters. Experience in the analysis of genetic data, statistical genetics methods, epidemiology and bioinformatics would be advantageous. Experience of accessing, curating, analysing and interpreting EHR data from diverse sources is an advantage; however, for candidates without this expertise, in-post training will be available. The post-holder will be motivated and resourceful, an effective, independent worker, and a collaborative member of an international multidisciplinary team. We place a strong emphasis on supporting career development and on the potential for independence. You will be jointly supervised by Dr Dionisio Acosta, Dr Reecha Sofat and Dr Rui Providencia at the Institute of Health Informatics. Further Details A job description and person specification can be accessed via the link at the bottom of this page. To apply for the vacancy please click on the "Apply Now" button below. Interested candidates are welcome to contact Dr Dionisio Acosta Mena (d.acosta@ucl.ac.uk) for an informal discussion. If you have any queries regarding the application process, please contact Wing-Chau Tung (w.tung@ucl.ac.uk). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 28 Jan 2019 Latest time for the submission of applications 23.59 Interview date 08 February 2019 Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description Apply Now
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