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Position: Research Associate - Childhood Obesity in European Countries
Institution: Imperial College London
Department: Centre for Health Economics & Policy Innovation
Location: London, United Kingdom
Duties: Science & Technology in childhood Obesity Policy (STOP) will focus on expanding and consolidating the multi-disciplinary evidence base, upon which effective and sustainable policies can be built to prevent and manage childhood obesity. It aims at creating conditions to translate evidence into policy and impact. We wish to appoint a research associate with advanced quantitative modelling, analytical and programming skills to support the policy analysis work. The aim is to produce estimates of the future burden of childhood obesity in the EU, its impact on health care expenditure, delivery, population well-being, health, and socio-economic inequalities
Requirements: PhD in a relevant quantitative discipline Applied Mathematics, Statistics, Computer Science, Physics, Economics or Engineering. Software development and object-orientated programming experience in C++ (and ideally Python too). Experience with mathematical models (e.g. agent-based models). Experience with software development tools including git, continuous integration and shell scripts (e.g. bash). Experience in constructing and maintaining large databases (e.g. SQL). Experience of statistical/econometric analysis (using STATA/R/Matlab). Publications high impact international peer reviewed journals or preparation of academic papers to this standard that are soon to be submitted
   
Text: Research Associate Apply now Save this job Job summary The Centre for Health Economics & Policy Innovation (CHEPI) at Imperial College Business School has received funding from the European Commission for a Horizon 2020 project aiming to address the burden of childhood obesity in European countries. The project, Science & Technology in childhood Obesity Policy (STOP), involves 31 research, advocacy and governmental organisations from 16 countries, with Imperial College London as coordinating... Job listing information Reference BUS00108 Date posted 4 October 2018 Closing date 5 November 2018 Key information about the role Location South Kensington Campus (map) Position type Full time, fixed term Salary £37,904 - £39,892 plus benefits Department Business School Category Researcher / Non Clinical Researcher Job description Job summary The Centre for Health Economics & Policy Innovation (CHEPI) at Imperial College Business School has received funding from the European Commission for a Horizon 2020 project aiming to address the burden of childhood obesity in European countries. The project, Science & Technology in childhood Obesity Policy (STOP) , involves 31 research, advocacy and governmental organisations from 16 countries, with Imperial College London as coordinating partner. STOP will focus on expanding and consolidating the multi-disciplinary evidence base, upon which effective and sustainable policies can be built to prevent and manage childhood obesity. It aims at creating conditions to translate evidence into policy and impact. The project will identify the critical stages of childhood development that can be efficiently and effectively targeted by interventions. In STOP we will develop mathematical and computational tools to incorporate different modelling assumptions into data-rich decision-making. The use and integration of different sources of data, the development of modelling and inference techniques, and the use of high-dimensional, dynamical data in conjunction with network-based techniques will be brought to bear in this important area. We wish to appoint a research associate with advanced quantitative modelling, analytical and programming skills to support the policy analysis work involved in the STOP project. This work will involve using, analysing and developing mathematical models to capture the main socio-demographic and epidemiologic characteristics of European countries, including multiple competing risk factors, to estimate the impact and cost-effectiveness of a range of interventions aimed at shaping food supply and demand, as well as increasing physical activity. The aim is to produce estimates of the future burden of childhood obesity in the EU, its impact on health care expenditure, delivery, population well-being, health, and socio-economic inequalities, as well as to estimate changes in these impacts through exploring various health and non-health-related policy options. The project will explore the modelling assumptions and will apply complementary analysis methodologies to the outcomes of the model using methods from network science, stochastic processes, dimensionality reduction and machine learning. During this project, the successful applicant will be jointly affiliated with CHEPI at the Business School and the EPSRC Centre for Mathematics of Precision Healthcare (CMPH) in the Department of Mathematics at Imperial College London. CMPH brings together mathematicians, biomedical researchers, clinicians, and computer scientists to address mathematical and computational challenges emerging from data-rich precision healthcare, from the individual to the population. The research associate will have the opportunity to travel to various European countries to attend STOP-related meetings. Day-to-day supervision will be provided by Prof. Franco Sassi and Prof. Mauricio Barahona . Duties and responsibilities You will work as part of a multidisciplinary and multi-faculty team on the STOP project to analyse the mathematical underpinnings of a microsimulation model to estimate the cost-effectiveness of various interventions aimed at reducing childhood obesity across European countries. You will be responsible for adapting, maintaining, evaluating and reporting the results of the microsimulation to a range of stakeholders. You will collaborate with the Imperial College London research team and with selected STOP project partners, especially OECD, WHO and INRA, to refine the findings and validate interventions. You will also be responsible for the assembly, management and analysis of large scale data sets. You will be responsible for conducting statistical analyses on the assembled data. You will be responsible for drafting academic papers and interim and final reports on the progress of the work. You will present results to a variety of audiences including research funders, academics, and policy makers, at seminars, national and international conferences related to the project. You will have joint authorship of academic papers from your research, which will be published in leading international journals. Essential requirements Education PhD in a relevant quantitative discipline Applied Mathematics, Statistics, Computer Science, Physics, Economics or Engineering. Candidates with PhD near to completion will also be considered Experience Software development and object-orientated programming experience in C++ (and ideally Python too) Experience with mathematical models (e.g. agent-based models) Experience with software development tools including git, continuous integration and shell scripts (e.g. bash) Experience in constructing and maintaining large databases (e.g. SQL) Experience of statistical/econometric analysis (using STATA / R / Matlab) Publications high impact international peer reviewed journals or preparation of academic papers to this standard that are soon to be submitted Skills and Abilities Skilled in C++ development and object-orientated programming Expertise in statistical or econometric analyses Please see the Job Description for a full list of requirements. Further information The position is full time and fixed term for 24 months. Candidates must be able to commence the post by December 2018. Should you require any further details on the role please contact: Professor Franco Sassi f.sassi@imperial.ac.uk or Dr Jack Olney jack.olney@imperial.ac.uk . Should you have any queries about the application process please contact Naz Hussain on 020 7594 1583 or email icbs.hr@imperial.ac.uk . For technical issues when applying online, please contact: recruitment@imperial.ac.uk . The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/ The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research / Documents Research Associate STOP JD Oct 18.doc About Imperial College London Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world. You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City. We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces. It’s our mission to achieve enduring excellence in all that we do for the benefit of society - and we are looking for the most talented people to help us get there. Additional information Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. All Imperial employees are expected to follow the 7 principles of Imperial Expectations: Champion a positive approach to change and opportunity Communicate regularly and effectively within, and across, teams Consider the thoughts and expectations of others Deliver positive outcomes Encourage inclusive participation and eliminate discrimination Develop and grow skills and expertise Work in a planned and managed way In addition to the above, employees are required to observe and comply with all College policies and regulations . Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
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