A reminder of the job advert below.
This is an exciting opportunity for an ambitious post-doctoral research associate to join the MRC Biostatistics Unit to carry out research within the Unit's Precision Medicine theme.
The post-holder will focus on developing and implementing methods for prediction and/or understanding of the psychiatric disorder delirium in patients in the general Intensive Care Unit (ICU) at Addenbrookes hospital using Electronic Health Record (EHR) data. Addenbrookes is an internationally-renowned teaching hospital in Cambridge and in 2014 was the first UK hospital to implement Epic's fully electronic health record eHospital system. This provides a single, integrated EHR, with real-time information recorded at the patient's bedside, including observations, blood tests, procedures and medications. Five years of data have now been collected, providing a large, rich observational clinical informatics dataset.
The project forms part of the exciting emerging area of real-time precision medicine, which seeks to provide statistical and machine learning tools to optimise each patient's care in real-time. The post-holder will have the opportunity to contribute to several challenging open problems in the statistical analysis of clinical electronic health record data, including prediction and inference using messy real-time data with complex, competing endpoints; and tuning prediction according to clinically-informed criteria. The post will involve collaboration with ICU physicians involved in day-to-day clinical practice at the general ICU (John Farman Unit) at Addenbrookes.
You will have, or be close to completing, a PhD in a strongly quantitative discipline, ideally statistics or probabilistic machine learning and will ideally be experienced in one or more of the following areas: dynamic prediction, high-dimensional statistics, event-history modelling, causal inference. You will have demonstrated the ability to develop and implement new statistical methodology, have strong computational skills (e.g. advanced use of statistical packages such as R or Python), good communication skills and the ability to write scientific papers. Experience of leading methodological or complex applied projects is desirable but not essential. You will play an active role in the development of the research group, by undertaking and supporting research through introduction of new ideas, publication in leading statistical/application journals, presentation of research at international workshops and conferences and by training of others. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.
The MRC Biostatistics Unit undertakes research on statistical methods and their application to the design, analysis and interpretation of biomedical studies, to advance understanding of the cause, natural history and treatment of disease, and to evaluate public health strategies. It is one of Europe's leading biostatistics research institutions and includes many internationally renowned statisticians. It provides a privileged environment for conducting research within the Cambridge biomedical environment.
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Fixed-term: The funds for this post are available until 31 March 2022 in the first instance.
To apply go to http://www.jobs.cam.ac.uk/job/23586/ Click the 'Apply' button to register an account with our recruitment system (if you have not already) and apply online.
The closing date for applications is Sunday 10th November with interviews taking place Wednesday 20th November.
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 SL21037 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.
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