Postdoctoral Fellow in Biostatistics
University of Cambridge
United Kingdom

The MRC Biostatistics Unit at the University of Cambridge is offering an exciting opportunity for a postdoctoral research fellow. This is an opportunity for an enthusiastic and independent researcher with an interest in the development of novel methodology to be successfully used in real-life health care applications. The post-holder will be part of Dr Sofia Villar's research group and will have the opportunity to significantly contribute to Sofia Villar's methodological research in relation to designing and implementing optimal clinical trials. Depending on the interests and skills of the post-holder, the role could focus on: i) addressing key methodological issues in adaptive designs (especially those related to optimal or "bandit" designs); ii) addressing practical questions of applied relevance for novel designs; and/or iii) introducing novel ideas from potentially related areas like machine learning, reinforcement learning, optimisation or information theory.

This post is for a highly qualified early career researcher and is viewed as a training and development position. The post-holder will develop theoretical approaches continuing the research programme that started as part of Sofia Villar's Biometrika postdoctoral fellowship. Additionally, there will be lots of opportunities to interact and collaborate with researchers both in the MRC Biostatistics Unit and external collaborators to Sofia's group - these include but are not limited to: William Rosenberger (GMU, USA), David Roberston (University of Cambridge), Thomas Jaki and Peter Jacko (Lancaster University), Joseph Jay Williams (University of Toronto, Canada) and Anna Rafferty (Carleton College, Canada).

Candidates for the MRC Postdoctoral Fellow position will have a PhD in statistics, or a relevant discipline; scientific computing skills (e.g. Julia, Matlab, R), statistical packages (e.g. R). You must have good communication skills and be able to contribute substantially to writing scientific papers. Knowledge of related areas like optimisation, machine learning techniques, clinical trials or others is desirable but not essential.

The post is available for three years. We encourage both full time and part time applications.

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

Closing date: 8th April 2020

Interview date expected to be: 21st or 22nd April 2020

For an informal discussion about this post, please contact who would be very happy for anyone interested to contact her directly if you'd like more information about the position.

The Medical Research Council (MRC) Biostatistics Unit (, located in Cambridge and part of the University of Cambridge, 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.

Please ensure that you upload a covering letter and CV 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 email address and phone number, one of which must be your most recent line manager.

Please quote reference SL22501 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.

If you apply for this position please say you saw it on Bioloxy


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