Senior Medical Biostatistician

 

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 postholder 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.

 
About You 

 

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.

 

About the Nuffield Department of Clinical Medicine 

 

Application Process 

 

The post is full time and fixed term up to 31/03/2027. Part-time working will be considered (0.8 FTE, 30 hours per week minimum). 

Applications are to be made online. You will be required to upload a supporting statement and CV as part of your online application. Please include in your supporting statement why this is the right opportunity for you.

Only applications received before 12.00 midday on 14 February 2025 will be considered.

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