We are seeking an enthusiastic and well-established
Medical Statistician
to join our dynamic multi-disciplinary team working under the umbrella of the Modernising Medical Microbiology (MMM) consortium (https://www.expmedndm.ox.ac.uk/mmm). The group comprises approximately 40 researchers situated in Oxford, predominantly at the John Radcliffe Hospital. The group is taking a lead in infectious diseases research in the UK. The MMM Unit undertakes large-scale epidemiological studies and pathogen sequencing, using a diverse range of sequencing technologies, including short-read (Illumina) and long-read (Nanopore) approaches. Team members have developed, and are iteratively improving, high-throughput methods for processing and analysing thousands of pathogen genomes. The post-holder will take biostatistical leadership in developing experimental designs and conducting analyses to address important outstanding questions around statistical validation of computational workflows for sequence data analysis. This involves comparisons with well-characterised genomes, referred to as "truth sets". To create these, there needs to be close co-operation between the post-holder and others in the team, including a bioinformatician, lab staff, and research software engineers. The University of Oxford is partnering with the Ellison Institute of Technology (EIT) to further develop Pathogen Analysis Services in order to establish a world-leading enterprise delivering global pathogen sequence analysis for both public health and patient care diagnostics for all major pathogens. This is an exciting role, with the opportunity to work in an interdisciplinary team. The wider team includes clinicians, research software engineers, and bioinformatics and biostatistics support, and the goal is to validate the sequencing analysis and microbiological services. It has strong collaborative links to the UK Health Security Agency (formerly Public Health England), European Bioinformatics Institute, and the Global Health Security Consortium formed by the Tony Blair Institute, Larry Ellison Foundation and University of Oxford. There is no teaching commitment associated with the post; however, the post-holder 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, the ability to develop and lead biostatistical analysis projects through to completion, an enquiring and flexible attitude, and an interest in working collaboratively with researchers from different disciplines. You should hold a PhD (or equivalent) in a relevant scientific subject. Applications from those returning to work after career or other breaks would be welcomed. As an employer, we genuinely care about our employees' well-being and this is reflected in the range of benefits that we offer including: Flexible working An excellent contributory pension scheme 38 days' annual leave (including bank holidays) A comprehensive range of childcare services Family leave schemes Cycle loan scheme Discounted bus travel and Season Ticket travel loans The University also runs a large number of social groups and sports clubs for those looking for more than just a great place to work.
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Medical Statistician
to join our dynamic multi-disciplinary team working under the umbrella of the Modernising Medical Microbiology (MMM) consortium (https://www.expmedndm.ox.ac.uk/mmm). The group comprises approximately 40 researchers situated in Oxford, predominantly at the John Radcliffe Hospital. The group is taking a lead in infectious diseases research in the UK. The MMM Unit undertakes large-scale epidemiological studies and pathogen sequencing, using a diverse range of sequencing technologies, including short-read (Illumina) and long-read (Nanopore) approaches. Team members have developed, and are iteratively improving, high-throughput methods for processing and analysing thousands of pathogen genomes. The post-holder will take biostatistical leadership in developing experimental designs and conducting analyses to address important outstanding questions around statistical validation of computational workflows for sequence data analysis. This involves comparisons with well-characterised genomes, referred to as "truth sets". To create these, there needs to be close co-operation between the post-holder and others in the team, including a bioinformatician, lab staff, and research software engineers. The University of Oxford is partnering with the Ellison Institute of Technology (EIT) to further develop Pathogen Analysis Services in order to establish a world-leading enterprise delivering global pathogen sequence analysis for both public health and patient care diagnostics for all major pathogens. This is an exciting role, with the opportunity to work in an interdisciplinary team. The wider team includes clinicians, research software engineers, and bioinformatics and biostatistics support, and the goal is to validate the sequencing analysis and microbiological services. It has strong collaborative links to the UK Health Security Agency (formerly Public Health England), European Bioinformatics Institute, and the Global Health Security Consortium formed by the Tony Blair Institute, Larry Ellison Foundation and University of Oxford. There is no teaching commitment associated with the post; however, the post-holder 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, the ability to develop and lead biostatistical analysis projects through to completion, an enquiring and flexible attitude, and an interest in working collaboratively with researchers from different disciplines. You should hold a PhD (or equivalent) in a relevant scientific subject. Applications from those returning to work after career or other breaks would be welcomed. As an employer, we genuinely care about our employees' well-being and this is reflected in the range of benefits that we offer including: Flexible working An excellent contributory pension scheme 38 days' annual leave (including bank holidays) A comprehensive range of childcare services Family leave schemes Cycle loan scheme Discounted bus travel and Season Ticket travel loans The University also runs a large number of social groups and sports clubs for those looking for more than just a great place to work.
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