Applications are invited for a full-time Computer Programmer in the Department of Psychiatry, University of Cambridge, to join a research programme funded by the UK Medical Research Council to develop clinical informatics for mental health research.
The post-holder will be responsible for the further development of existing open-source software to de-identify/anonymise sensitive electronic health records for research and extract additional information via natural language processing. The post-holder will also develop associated software, including systems through which patients may consent to be contacted about research and/or allow their data to be linked with other NHS and academic organizations for healthcare research. The primary NHS site involved will be Cambridgeshire and Peterborough NHS Foundation Trust, and the work will include aspects of data linkage to the University and to other NHS organizations including Cambridge University Hospitals NHS Foundation Trust. The post-holder will also support research efforts, including in machine learning to predict outcomes in mental health disorders, involving the Departments of Psychiatry and of Computer Science/Technology and Microsoft Research UK.
Experience with Python, relational databases, web development, and Git is essential. Existing projects use Python with SQLAlchemy and Django, plus some Java, with statistical analysis and visualization through R, so experience in these packages and languages is desirable. Experience in multi-author open source software development is desirable. There may be opportunities to collaborate on other software developments focusing on neuropsychiatric assessment software (using Python/C++). The post will involve liaison with clinicians and researchers in the development of a clinical research platform.
Informal enquiries may be directed to Dr Rudolf Cardinal (email@example.com).
Fixed-term: The funds for this post are available until 31 March 2020 in the first instance.
This appointment requires a Research Passport application.
To apply online for this vacancy, please 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.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. 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.
The closing date for applications is the 26th May 2018, with interviews yet to be confirmed by the department.
Please quote reference RN15411 on your application and in any correspondence about this vacancy.
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