Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
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Botnar Research Centre
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Health Data Scientist
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based near: Botnar Research Centre
formal organization: University of Oxford
subject: research
type: Vacancy
organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
application closing date: 2024-08-06T12:00:00+01:00
comment: Applications are invited for the position of Health Data Scientist to join the Rare Bone disease and Osteoporosis Epidemiology team led by Dr M Kassim Javaid at the Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford. The post-holder will work independently as the lead statistician with guidance from a Lead/ senior medical statistician as needed to deliver basic and advanced statistical support to a range of observational studies related to osteoporosis and rare bone diseases. As Health Data Scientist you will significantly contribute to the design, data acquisition, data cleaning, analysis, write-up and publication of the ADOPT and Radiate studies. In addition you will provide written statistical input into protocols and ethics committee submissions and at the end of the study produce a statistical report of all analyses undertaken as specified in the protocol and SAP. You will plan and manage own research and administrative activities, including efficient co-ordination of multiple aspects of the programme of work to meet tight deadlines. You will also provide statistical advice and liaise with other project members as part of a collaborative team. You must have a postgraduate degree in applied medical statistics, clinical epidemiology, or a closely related subject. You will also have experience in selecting and delivering advanced statistical analysis for epidemiological studies including predictor selection, bootstrapping, imputation, hierarchical models, survival, competing risk models. You will also be able to demonstrate understanding and experience of a range of epidemiological concepts and techniques (e.g. cohort and cross-sectional study designs, matching). A good track record of peer reviewed scientific publications and experience teaching statistics to junior members of staff is desirable. This is a full-time fixed term appointment for 12 months. The closing date for this position is 12.0…
further particulars: 174267_Health Data Scientist_JD_.pdf
spatial: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
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salary: Standard Grade 7: £36,024 - £44,263 p.a.
application opening date: 2024-07-19T09:00:00+01:00

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value: Job Description _________________________________________________________________________ Do Summary Job title Health Data Scientist Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 7: £36,024 - £44,263 per annum Hours Full time Contract type Fixed-term (12 months) Vacancy reference 174267 The role The post-holder will work independently as the lead statistician with guidance from a Lead/ senior medical statistician as needed to deliver basic and advanced statistical support to a range of observational studies related to osteoporosis and rare bone diseases. The post-holder will significantly contribute to the design, data acquisition, data cleaning, analysis, write-up and publication of the ADOPT and Radiate studies. The post-holder will be a researcher with experience in biostatistics and epidemiology. Biostatistics methods include descriptive statistics, predictor selection, logistic, linear, mutli-nomial regression, survival models, competing risk, imputation, hierarchical models, k-means and other clustering techniques, prediction modelling research, bootstrapping and regression diagnostics. Epidemiological designs include interrupted time series, matched studies, propensity score adjustment. The post-holder who will lead, develop, and contribute to statistical analysis plans, preparation of presentations (abstracts, posters, orals), reports and contribute to other ongoing research projects within the department. The role will also include opportunities to expand your own research portfolio through developing and leading research projects not only evaluate but generate new evidence to improve research methodological quality. The candidate will be responsible for the analysis of datasets arising from multiple research projects, as well as providing wider support through writing analysis plans, preparing…

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