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Job Number ： AC01450 Contract Type : Fixed Term Contract Closing Date : 16-03-2016 Salary： £32,600 to £37,768 per annum (pro rata if part time). These are fixed term positions until 28th February 2018 in the first instance with the possibility of extension beyond this (dependent on grant funding). Main Purpose of the Post Applicants are invited for the positions of fixed term Research Officer specialising in data mining/ machine learning/ statistics to conduct research on data linkage and analytics for examining cancer, diabetes, arthritis, obesity, mental health and other chronic conditions, given large routine electronic health records (electronic hospital admissions, general practitioner data, emergence data etc.). The post-holder(s) will develop methods of predictive analytics, biostatistics and design to identify specific diagnosis using routine diagnosis codes, medication and laboratory test results. This work will heavily involve data linkage, which brings together person-level data drawn from operational and national systems and use a novel anonymisation process to link datasets together and form a rich information base. Data sources are not restricted to health and include many other settings, including social services, housing, transport, and education. This work will be undertaken within the Farr Institute CIPHER. Led by Swansea University, the Farr Institute CIPHER is one of the four component Centres of the UK’s Farr Institute of Health Informatics Research. The post-holder will work closely with the existing team in Swansea University’s Health Information Research Unit (HIRU), which develops and operates the Secure Anonymous Information Linkage (SAIL) databank. The post-holders are expected to be highly self-motivated, capable and enthusiastic to develop their own research interests in the area of statistics and data mining with good knowledge of data mining, machine learning or other predictive analytics and willing to develop their own interests in applying predictive methods to health informatics. The post-holder is expected to publish in high quality world leading journals, apply for funding and grants and disseminate findings at national and international conferences and meetings. In addition, the post-holder should be willing to strengthen existing research groups and lead in the establishment of collaboration with others for international and national research. Applicants should have: a PhD in statistics, computing or a related subject; excellent data analysis skills; and a track record of producing findings for publications. *Details and How to Apply* Please go to Swansea University website ( http://www.swansea.ac.uk/personnel/jobs/), or see the link below http://www.swansea.ac.uk/the-university/work-at-swansea/jobs/details.php?nPostingId=2877&nPostingTargetId=5243&id=QHUFK026203F3VBQB7VLO8NXD&lg=UK Informal enquiries contact details and Further Information Informal enquiries may be made to Prof Sinead Brophy: Tel: +44(0) 1792 602058, e-mail [log in to unmask]; or Dr Shang-Ming Zhou: Tel: +44(0) 1792 602580, e-mail [log in to unmask] Best wishes Shang-Ming Zhou