Web Developer

University of Cambridge - Department of Pure Mathematics and Mathematical Statistics

The Winton Centre for Risk and Evidence Communication at the University of Cambridge requires a full stack web developer to assist psychologists and statisticians with the creation and support of risk communication technologies, applying the principles of user centred design. You will be working predominantly in a MacOSX or Unix development environment using and publishing open source software and tools.

The Winton Centre is based in the Department of Pure Mathematics and Mathematical Statistics but is cross-disciplinary and aims to become a leading global hub for the transparent communication and improved public understanding of risk and quantitative evidence. Dr Alexandra Freeman is the Executive Director, Professor Sir David Spiegelhalter is the Chair of the Management Board and Mike Pearson is the Technical Lead.

The post-holder will be responsible for helping produce the Centre's web-based projects, including developing client-side tools for the presentation of quantitative data based on algorithms supplied by statisticians or taking information from a database maintained by a collaborator. The Centre aims to develop a range of re-usable tools for on-the-fly data presentation that can be made freely available to others to run on or embed within their own websites in order to visualize a range of different kinds of data. For examples of the kind of sites that we aim to produce, see: http://childrensheartsurgery.info. We currently have several such projects in development and the post holder will be working with the technical lead to produce and deliver them to schedule in a technically stable and secure way.

The post-holder will be working particularly on user interface design, alongside psychologists within the Winton Centre team and external end users, with whom we will be working closely.

The ideal post-holder is likely to be a graduate from a numerate discipline with some statistical or data visualisation experience who is also familiar with modern web technology and functional programming. They should have excellent interpersonal and communication skills in order to work closely both with end users and the rest of the Centre team. Additionally, they would have a familiarity and understanding of basic statistical techniques and visualisations methods, as well as common statistical software.

If you have any questions about this vacancy, please contact Mike Pearson (gmp26@cam.ac.uk).

Interviews are expected to be conducted in the week beginning 26 March.

Fixed-term: The funds for this post are available for 6 months in the first instance.

To apply online for this vacancy, please go the University’s Job Opportunities Pages and click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

With your application, please upload a full CV and covering letter, including links to sites as appropriate, together with the contact details of two professional referees, at least one of whom should be contactable if you are invited to attend an interview. Please ensure that your referees are aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System.

The University of Cambridge values diversity and is committed to equality of opportunity.

Please quote reference LF14735 on your application and in any correspondence about this vacancy.

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South East England