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Position: Associate Professor in Biomedical Statistics/Statistical Science
Institution: University College London
Department: PSEM - MRC Unit for Lifelong Health and Ageing
Location: London, United Kingdom
Duties: This is a new appointment linked to the whole of life cohorts curated at UCL. You will lead a programme of work entitled life course methods and functional trajectories. This includes raising funds for, conducting and disseminating high quality research in the whole of life determinants of health and disease in across life to older age. You will be part of a multidisciplinary biomedical and social science team, with strong linkages to the Institute of Cardiovascular Science, Institute of Neurology, Institute of Health Informatics, Institute of Healthcare Engineering, and the Centre for Longitudinal Studies (CLS). You will join a cross cohort statistical/data science group to share expertise and enhance cross cohort collaboration. You will contribute to capacity building through teaching and supervision of students
Requirements: A PhD in statistics, data science or related discipline, with extensive experience in some of the following domains: causal inference, statistical genetics, machine learning and longitudinal analysis. Ideally, you will previously have worked with biomedical data, and in a multi-disciplinary environment. You will have a track record of leadership and grant income
   
Text: Associate Professor in Biomedical Statistics/Statistical Science, - Ref:1869990 Click here to go back to search results Apply Now UCL Department / Division PSEM Specific unit / Sub department MRC Unit for Lifelong Health and Ageing Location of position London Grade 9 Hours Full Time Salary (inclusive of London allowance) £58,404 - £63,483 per annum Duties and Responsibilities This is a new appointment linked to the whole of life cohorts curated at UCL. You will lead a programme of work entitled life course methods and functional trajectories. This includes raising funds for, conducting and disseminating high quality research in the whole of life determinants of health and disease in across life to older age. You will be part of a multidisciplinary biomedical and social science team, with strong linkages to the Institute of Cardiovascular Science, Institute of Neurology, Institute of Health Informatics, Institute of Healthcare Engineering, and the Centre for Longitudinal Studies (CLS). You will join a cross cohort statistical/data science group to share expertise and enhance cross cohort collaboration. You will contribute to capacity building through teaching and supervision of students. Key Requirements A PhD in statistics, data science or related discipline, with extensive experience in some of the following domains: causal inference, statistical genetics, machine learning and longitudinal analysis. Ideally, you will previously have worked with biomedical data, and in a multi-disciplinary environment. You will have a track record of leadership and grant income. 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. If you have any queries regarding the vacancy or the application process please contact Jane Johnson, jane.johnson@ucl.ac.uk (020 7670 5700). We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. Closing Date 10 Oct 2021 Latest time for the submission of applications 23.59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Please use these links to find out more about the 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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