An exciting opportunity has arisen for a Lead Programmer to join the MRC Epidemiology Unit working on the Cambridge Biomedical Campus. The Unit is a department within the University of Cambridge’s School of Clinical Medicine, and its research focuses on understanding the causes and helping to prevent obesity, diabetes and other metabolic disorders.
The Lead Programmer will work within the Unit’s Data Management Team (DMT) providing expert level web and programming skills, primarily focused on Python, which will enable support of existing in-house utilities (e.g., FEAT – the Food Environment Assessment Tool) (https://www.feat-tool.org.uk/) and the creation of new tools and utilities to support the Unit. They will be an expert web developer and will be responsible for ensuring that the DMT and the Unit as a whole stays abreast of, and is able to fully implement, advances in web programming.
In addition to delivering their own programming activities, the role will support the programming efforts of the DMT through both group-based and one-on-one coaching and mentoring. They are expected to be a Subject Matter Expert (SME) for all web programming in the Unit as a whole and will be expected to give technical support to all Unit teams in regard to their web programming requirements. They will develop and set the standards for web programming to ensure that the Unit follows industry best practices and will keep these constantly under review. The role will also establish and chair regular development and programming meetings which will include developers from teams across the Unit.
Additionally, as part of the DMT the role will be expected to actively engage with the Unit`s Data Managers to develop software for the display and manipulation of data for the Unit’s many studies (https://www.mrc-epid.cam.ac.uk/research/studies/). The data generated in the studies come from a wide range of sources (e.g., scientific measurement data, laboratory results and questionnaires), and the post holder will be expected to be able to adapt to the type of data being managed. The nature and diversity of the data is an ever-changing landscape and flexibility to adapt to new types of data sources as they arrive will be essential.
This is an exciting and unique opportunity to work at the forefront of population science research with internationally leading scientists.
If you would like an informal discussion about the role, please contact Tony Webb, Senior Data Manager (firstname.lastname@example.org). Closing date is 17th February 2022 and interviews are scheduled for 3rd March 2022.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
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