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Position: Data Analyst
Institution: Imperial College London
Location: London, United Kingdom
Duties: The principal purpose of the post is to support research to improve newborn care and the organisation of neonatal health services. You will contribute to the work of the Neonatal Data Analysis Unit in relation to OptiPrem (Optimising neonatal service provision for Preterm babies born between 27 and 31 weeks of gestation in England, using national data, qualitative research and economic analysis). You will also lead associated methodological studies and link the National Neonatal Research Database with Hospital Episode Statistics and Office for National Statistics data. It is expected that you will lead the preparation of manuscripts for peer-review publication on the output of the methodological studies
Requirements: You will need experience of using statistical methods to estimate causal effects in observational studies. You will also need experience of public health, neonatal service, NHS information or other relevant fields. Experience of database linkage information systems and of writing queries using coding languages such as SQL, SAS, R or STATA, is essential
   
Text: Data Analyst Apply now Save this job Job summary Applications are invited for a Data Analyst to work in the Neonatal Data Analysis Unit to support a NIHR HS&DR funded research project, OptiPrem, to assess the best place of care for babies born between 27 and 31 weeks’ gestation in England, and related research. The Chief Investigator is Dr Tilly Pillay based at the Royal Wolverhampton NHS Foundation Trust. You will be based at the Chelsea and Westminster Hospital campus of Imperial College... Job listing information Reference MED00816 Date posted 10 October 2018 Closing date 24 October 2018 Key information about the role Location Chelsea and Westminster Campus (map) Position type Full time, fixed term Salary £36,926 - £43,198 plus benefits Department Department of Medicine Category Professional / Support Services / Research / Laboratory Technician Job description Job summary Applications are invited for a Data Analyst to work in the Neonatal Data Analysis Unit to support a NIHR HS&DR funded research project, OptiPrem, to assess the best place of care for babies born between 27 and 31 weeks’ gestation in England, and related research. The Chief Investigator is Dr Tilly Pillay based at the Royal Wolverhampton NHS Foundation Trust. You will be based at the Chelsea and Westminster Hospital campus of Imperial College in London and will work closely with Professor Modi at Imperial College London, Associate Professor Oliver Rivero-Arias (University of Oxford, National Perinatal Epidemiology Unit), and the OptiPrem statistical team led by Professor Brad Manktelow (University of Leicester). https://www.royalwolverhampton.nhs.uk/research-and-development/opti-prem-improving-neonatal-service-delivery/ Duties and responsibilities The principal purpose of the post is to support research to improve newborn care and the organisation of neonatal health services. You will contribute to the work of the Neonatal Data Analysis Unit in relation to OptiPrem (Optimising neonatal service provision for Preterm babies born between 27 and 31 weeks of gestation in England, using national data, qualitative research and economic analysis). You will also lead associated methodological studies and link the National Neonatal Research Database with Hospital Episode Statistics and Office for National Statistics data. It is expected that you will lead the preparation of manuscripts for peer-review publication on the output of the methodological studies. Essential requirements You will need experience of using statistical methods to estimate causal effects in observational studies. You will also need experience of public health, neonatal service, NHS information or other relevant fields. Experience of database linkage information systems and of writing queries using coding languages such as SQL, SAS, R or STATA, is essential. Data management and preparation of datasets for analysis is essential as is experience of conducting data queries and overall data cleaning. You will be working in a small team so good communication skills as well as presentation skills will be needed. Further information The OptiPrem project is a two-year project. This post is advertised as a full-time one-year post in the first instance (with a further one-year extension after year one planned). Applications on a part-time basis will also be considered. There will be the need to occasionally travel (fully funded) to steering committee meetings and to meetings at the NPEU (Oxford), the Royal Wolverhampton Hospital and the University of Leicester to meet with the OptiPrem statisticians and health economists and CI. Should you require any further details on the role please contact: Professor Neena Modi through her PA ( surbhi.shah@imperial.ac.uk ) Should you have any queries regarding the recruitment system or application process please contact Imperial HR: Samantha Oshodi ( a.oshodi@imperial.ac.uk ) For technical issues when applying online please email recruitment@imperial.ac.uk Documents Data Analyst JD and PS Final.docx 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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