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Position: Senior Research Associate/Research Associate 'Medical Statistician in Methodological Software'
Institution: University College London
Department: MRC Clinical Trials Unit at UCL
Location: London, United Kingdom
Duties: Writing user-friendly statistical software is central to the dissemination of our methodology. The position will involve writing new software to implement newly developed methodology; enhancing existing software by adding new functionality, correcting errors, improving documentation and supporting users; and improving the methodology theme’s approach to validating its statistical software
Requirements: The successful candidate will have a degree in a scientific subject, preferably a higher degree related to statistics; interest in methodological development in a biomedical environment; preferably experience or knowledge of medical statistics, experience of writing and documenting software (ideally statistical software in Stata); ability to write good code; and will work effectively with methodologists and users
   
Text: Senior Research Associate/Research Associate 'Medical Statistician in Methodological Software', - Ref:1732464 Click here to go back to search results Apply Now UCL Department / Division MRC Clinical Trials Unit at UCL Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) Grade 7 ?34,635 - ?41,864 per annum Grade 8 ?43,023 - ?48,023 per annum Duties and Responsibilities Writing user-friendly statistical software is central to the dissemination of our methodology. Most of the Unit?s statistical software is written for the statistical package Stata, with the aim of disseminating methodology developed in the Unit nationally and internationally. The methodology theme has expanded considerably over recent years, enabling us to recruit to a new position to work alongside statistical methodologists in developing the Unit?s statistical software. The position will involve writing new software to implement newly developed methodology; enhancing existing software by adding new functionality, correcting errors, improving documentation and supporting users; and improving the methodology theme?s approach to validating its statistical software. Key Requirements The successful candidate will have a degree in a scientific subject, preferably a higher degree related to statistics; interest in methodological development in a biomedical environment; preferably experience or knowledge of medical statistics, experience of writing and documenting software (ideally statistical software in Stata); ability to write good code; and will work effectively with methodologists and users. Further Details Candidates may also be interested in three other roles currently being advertised: Ref:1732436 Medical Statistician (Systematic Reviews & Meta-Analysis); Ref:1732458 Medical Statistician (Clinical Trials) x2;1732462: Medical Statistician (Clinical Trials). A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. Further information about the Institute is available via the ICTM website http://www.ucl.ac.uk/ictm If you have any queries regarding the vacancy or the application process, please contact Carole Booth n ( c.peel@ucl.ac.uk ) or for an informal discussion regarding the post please call Prof. Ian White (Tel: 44 (0)20 7670 4715). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 23 Jul 2018 Latest time for the submission of applications 23:59 Interview date TBC 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 the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job Description & Person Specification Apply Now
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