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Research Associate (Fixed Term)


The MRC Biostatistics Unit is a leading centre of innovative biostatistics research. An opportunity has arisen for a talented biostatistician to work with Dr Steven Kiddle on modelling the development of multimorbidity (multiple long-term diseases), and its relation to risk factors, treatment and outcomes. How to prevent and manage multiple diseases is a challenge that doctors face every day, and yet there is almost no evidence on how to do this most effectively. This project will involve the secondary use of large (N > 50,000) longitudinal electronic health record datasets, with the option to also study linked genomic data (e.g. genetic, protein, metabolite). Methodology will be applied to address clinical questions in close collaboration with clinicians and health informaticians.

The successful candidate will have a PhD in statistics and experience of casual inference (e.g. trial emulation from observational data or mendelian randomisation) and/or time-to-event models (e.g. survival or multi-state models). They will be experienced in statistical software such as R (preferred), and ideally would have experience in datasets with large numbers of rows (e.g. patients) and columns (e.g. variables). Willingness to collaborate with others, including non-statisticians, and an open-minded approach to problem solving are essential. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.

Fixed-term: The funds for this post are available for 2 years in the first instance.

The post is full-time but applications are welcome from those who would like to work flexibly.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Wednesday 8th January 2020 with interviews taking place Wednesday 15th January 2020.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager

Please quote reference SL21553 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online