Medical Statistician

University of Oxford - Nuffield Department of Clinical Medicine

John Radcliffe Hospital, Oxford

We are seeking a Medical Statistician who will join an established vigorous multi-disciplinary team working under the umbrella of the Modernising Medical Microbiology (MMM) consortium which includes the NIHR Health Protection Research Unit (HPRU) in Healthcare Associated Infections and Antimicrobial Resistance (in close collaboration with Public Health England), the NIHR Oxford Biomedical Research Centre (OxBRC) Modernising Microbiology and Antimicrobial Resistance Theme, the Antibiotic Review Kit in Hospitals NIHR Programme Grant for Applied Research, and other associated projects. The group comprises approximately 40 researchers situated in Oxford, predominantly at the John Radcliffe Hospital, and includes microbiologists, clinicians, medical statisticians, mathematical modellers and epidemiologists as well as molecular biologists, bioinformaticians, statistical/population geneticists and software engineers. The group is taking a lead in infectious diseases research in the UK. Key strands of work focus on: investigating pathogen virulence, micro-evolution and population genetics using whole genome sequencing and other molecular approaches, and then translating findings into clinical medicine with the ultimate goal of improving patient outcomes; electronic health records research, particularly across multiple different types of data/databases within secondary care; antimicrobial use and resistance.

The group maintains a large ethically approved research database of linked Oxfordshire healthcare records (IORD, The Infections in Oxfordshire Research Database, https://oxfordbrc.nihr.ac.uk/research-themes-overview/antimicrobial-resistance-and-modernising-microbiology/infections-in-oxfordshire-research-database-iord/) including patient administration system (PAS) data, microbiology and laboratory (haematology, biochemistry etc) data from ~3 million individuals attending or submitting samples for testing to Oxfordshire hospitals from 1997 to date, with Research Ethics Committee, Health Research Authority and Confidentiality Advisory Group approval.

This post creates an opportunity to develop broad skills in biostatistical analysis of large datasets and to contribute both to a radically changing research field and to improving delivery of microbiology and infectious diseases services for patients. Substantial grant funding in the region of £10m supports the objectives of the group. The overarching aim across these programmes is to translate the enormous potential of ‘big data’ from electronic health records and genetic pathogen sequencing technologies into improvements in the management and treatment of infectious diseases.

The main purpose of the post is to provide biostatistical expertise for a range of research questions being addressed using clinical and genomic data generated within the group, under the supervision of an experienced medical statistician, Professor Sarah Walker. There will also be opportunities for the postholder to develop their own research portfolio within the overarching programme and goals of the group. There is no teaching commitment associated with the post (although this could be arranged if desired); however, the postholder will be expected to provide expert advice to other group members from different disciplines (and will receive advice from other disciplines in return), that is, will be expected to take an active role in collaborative research.

To succeed in this post, you will have strong biostatistical skills, together with a keen interest in infectious diseases and antimicrobial resistance, an enquiring and flexible attitude and an interest in working collaboratively with researchers from different disciplines.

The post is full-time and fixed-term for 2 years in the first instance.

Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application.

Only applications received before 12.00 midday on 12 February 2018 will be considered.

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=132997

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