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Position: Research Fellow or Senior Research Fellow in Epidemiology/Statistics/Machine Learning
Institution: University College London
Department: Division of Psychiatry
Location: London, United Kingdom
Duties: The individual will work within a team of Research Fellows and PhD students focused on the use of routine data and electronic health records to advance our understanding of the effectiveness and tolerability of existing medications prescribed for mental illness. Using longitudinal routine and electronic health record 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 post holder will use statistical learning and machine learning techniques to optimise prediction models for drug treatment selection in mental illness
Requirements: The post-holder will have an PhD in Medical Statistics, Epidemiology, Health Informatics or similar, with a keen interest in applications on complex statistical, prediction and computational models to the analysis of large data sets. The successful applicant will be comfortable in the use of statistical software tools (R, STATA, Python, Julia) and running applications in large computer clusters; Experience in machine learning, epidemiology and bioinformatics is essential. Experience of accessing, curating, cleaning, analysing and interpreting large routine data and electronic health records data from diverse sources is an advantage. The post-holder will be motivated and resourceful, an effective, independent worker, and a collaborative member of an international multidisciplinary team
   
Text: Research Fellow or Senior Research Fellow in Epidemiology/Statistics/Machine Learning, - Ref:1884035 Click here to go back to search results Apply Now UCL Department / Division Division of Psychiatry Location of position London Grades 7-8 Hours Full Time Salary (inclusive of London allowance) £36,770 to £44,388 per annum (Grade 7) or £45,610 to £50,880 per annum (Grade 8) Duties and Responsibilities We are seeking an enthusiastic individual with an interest in pharmacoepidemiology in mental health to work on an exciting programme of research funded by the UKRI. The post is available from April 2022 or as soon as possible thereafter and is funded for 36 months in the first instance, with the possibility to extend to 42 months. This post can be funded at Grade 7 for 1.0 FTE or Grade 8 at 0.8 FTE dependent on experience (see Person Specification). The individual will work within a team of Research Fellows and PhD students focused on the use of routine data and electronic health records to advance our understanding of the effectiveness and tolerability of existing medications prescribed for mental illness. Using longitudinal routine and electronic health record 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 post holder will use statistical learning and machine learning techniques to optimise prediction models for drug treatment selection in mental illness. Key Requirements The post-holder will have an PhD in Medical Statistics, Epidemiology, Health Informatics or similar, with a keen interest in applications on complex statistical, prediction and computational models to the analysis of large data sets. The successful applicant will be comfortable in the use of statistical software tools (R, STATA, Python, Julia) and running applications in large computer clusters. Experience in machine learning, epidemiology and bioinformatics is essential. Experience of accessing, curating, cleaning, analysing and interpreting large routine data and electronic health records data from diverse sources is an advantage. The post-holder will be motivated and resourceful, an effective, independent worker, and a collaborative member of an international multidisciplinary team. Further Details 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. Informal enquiries can be made to Joe Hayes on joseph.hayes@ucl.ac.uk We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 24 May 2022 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 UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and person specification Apply Now
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