Lecturer A/B in Health Data Analytics
Health Sciences Research
Salary: £37,468 to £47,419 per annum
Post Type: Full Time
Closing Date: 23.59 hours BST on Tuesday 31 May 2022
The University of Surrey is an international university with an excellent teaching and a research profile that is innovative, forward thinking and achieving notable impact. The expanding Faculty of Health and Medical Sciences, is building capacity in Health and Biomedical Informatics to deliver cutting-edge research across key themes underpinning the University of Surrey’s Research Strategy, including Innovation for Health and Digital Innovation. We invite applications for a new university lecturer position to develop research and deliver teaching in health data analytics and informatics.
Our new initiatives in Health and Biomedical Informatics at the University of Surrey offer exciting opportunities for the successful candidate to develop and further their career at Surrey in novel and emerging areas of informatics and data analytics. The successful candidate will join our multidisciplinary community underpinning translational health and biomedical informatics, which links researchers in statistical multi-omics, systems biology, digital health, and clinical and experimental medicine, as well as local NHS trusts. This new post will also engage with the multi-disciplinary vHive centre, which aspires to promote development and adoption of digital innovation in animal-human health under our ‘one health, one medicine’ vision, to support multidisciplinary and translational research.
The lecturer in Health Data Analytics will contribute to and build programmes in health informatics, focusing on clinical and population informatics, developing new areas such as nursing informatics, and veterinary informatics, as well as developing applications of informatics techniques to health and medical data to improve patient outcomes and the delivery of healthcare.
Potential candidates will have demonstrable experience in real-world clinically-relevant data, informatics techniques, data science, and statistics. These may include method in Artificial Intelligence, statistical modelling, epidemiology, bioinformatics, data linkage and data mining, as well as insights or experience of where and when to include novel machine learning and other advanced techniques.
Research in the Faculty is conducted in four Schools; each with their own discipline-specific identity: the School of Biosciences and Medicine, the School of Health Sciences, the School of Psychology and the School of Veterinary Medicine. The research disciplines in the Schools are connected by Faculty and University-wide collaboration streams with the remit to develop larger research projects or programmes which require multidisciplinary teams with expertise from several schools and external partners. Beside a vibrant working environment on a leafy campus in Guildford close to London, this post offers extensive career development opportunities and resources to support you in building your own research team and fulfilling your potential.
If you are a team player with a ‘can do’ attitude and a desire to achieve in your field, personally and as part of a team, we will look forward to receiving your application. When completing the online application form, we would welcome in addition (i) a cover letter (no more than 2 pages), (ii) your CV; (iii) a brief supporting statement / vision document (no more than 3 pages).
Further details: Job Description
For more information and to apply online, please download the further details and click on the 'apply online' button above.
In return we offer a generous pension, relocation assistance, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.