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Position: Data Scientist in Public Health
Institution: University College London
Department: Great Ormond Street Institute of Child Health - Population, Policy and Practice
Location: London, United Kingdom
Duties: This role provides a unique opportunity to study for an experienced data scientist to contribute to cutting-edge methodological research linking national data from health and education. Linkage between diverse datasets, and across sectors, is critical to advancing use of data for science, policy and services. The data scientist will help manage the ECHILD (Education and Child Health Insights from Linked Data) research database, and contribute to the HOPE study which aims to which aims to determine the impact of adjustments for special educational needs or disability (SEND) on children’s health. We seek an ambitious researcher with strong quantitative and programming skills and experience in handling large longitudinal datasets. The successful candidate will have access to the vast expertise in using and linking administrative data resources at UCL and within HDR UK London
Requirements: MSc in relevant discipline (e.g. statistics epidemiology, health data science, computer science) or related experience; Statistical skills and the ability to perform data extracts using standard software and scripting languages (e.g. Stata, Python, R, SQL); Experience of working within a defined data governance framework and privacy and security issues for highly sensitive records and datasets in a secure setting; Experience of data modelling, curation, and linkage methods for large administrative datasets, working with external data providers and statutory bodies
   
Text: Data Scientist in Public Health, - Ref:1886222 Click here to go back to search results Apply Now UCL Department / Division Great Ormond Street Institute of Child Health Specific unit / Sub department Population, Policy and Practice Location of position London Grades 7-8 Hours Part Time Hours per week (FTE) 10.95 - 18.25 hours per week (30%-50% FTE) Salary (inclusive of London allowance) Grade 7 £36,770 - £44,388 per annum pro rata or Grade 8 £45,610 - £53,757 per annum pro rata Salary pro-rata for part time vacancies Duties and Responsibilities This role provides a unique opportunity to study for an experienced data scientist to contribute to cutting-edge methodological research linking national data from health and education. Linkage between diverse datasets, and across sectors, is critical to advancing use of data for science, policy and services. The data scientist will help manage the ECHILD (Education and Child Health Insights from Linked Data) research database, and contribute to the HOPE study which aims to which aims to determine the impact of adjustments for special educational needs or disability (SEND) on childrens health. We seek an ambitious researcher with strong quantitative and programming skills and experience in handling large longitudinal datasets. The successful candidate will have access to the vast expertise in using and linking administrative data resources at UCL and within HDR UK London. The post holder will help establish metrics for evaluating the quality of linkage between different modules of HES and NPD, and of additional health information for which linkage is in development (including, for example, mother-child linkage and UPRN). Working closely with study PIs, the post holder will support investigators, researchers and PhD students to deliver the data needs of existing and new ECHILD research projects. This post is funded until 31/07/2024 in the first instance. Key Requirements MSc in relevant discipline (e.g. statistics epidemiology, health data science, computer science) or related experience. Statistical skills and the ability to perform data extracts using standard software and scripting languages (e.g. Stata, Python, R, SQL) Experience of working within a defined data governance framework and privacy and security issues for highly sensitive records and datasets in a secure setting Experience of data modelling, curation, and linkage methods for large administrative datasets, working with external data providers and statutory bodies Further Details A job description and full person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. If you have any questions please contact ICH Human Resources ich.hr@ucl.ac.uk quoting the job reference. 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 29 Aug 2022 Latest time for the submission of applications 23:59 Interview date tbc Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in 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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