Research Fellow, Health and Bio-informatics
- UNIVERSITY OF SURREY
- Surrey, United Kingdom
- £34,308 to £42,155 per annum
- 29 Mar 2023
- End of advertisement period
- 25 Apr 2023
- Academic Discipline
- Clinical, Pre-clinical & Health, Medicine & Dentistry, Other Health & Social Care, Life sciences, Biological Sciences, Veterinary Science, Physical Sciences, Mathematics & Statistics
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Fixed Term
- Full Time
Health Sciences: Research
Salary: £34,308 to £42,155 per annum
Post Type: Full Time
Closing Date: 23.59 hours BST on Tuesday 25 April 2023
Research Fellow – Health and Bio-Informatics
School of Health Sciences
This is an exciting new opportunity for an enthusiastic, and motivated postdoctoral fellow to work on several exciting human and veterinary health data-sciences and biomedical informatic studies. You will be joining the University of Surrey’s Health and Biomedical Informatics Research Group, where you will run studies on a number of clinical and medical research questions, using large health datasets from patients, companion animals and livestock, as well as large biomedical datasets such as ‘omics (genomics, proteomics, metabolomics). The post will involve collaborative working with industry partners, charities, as well as other universities and research institutes across the UK and internationally. The overall programme of research will be jointly developed by Prof. Nophar Geifman and the person appointed. There are opportunities to broaden out into other areas such as new algorithm development, and advanced computational methodologies for integrated analyses.
You will have a key role in planning, designing and executing a range of studies and the methodologies to be used. Strong quantitative research skills with hands-on real-world applications will be essential. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical datasets. You will need good communication skills, and able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology, data sciences, or a related subject, ideally with a focus on utilising large-scale health/biomedical data and the application of advanced data analysis methods such as machine-learning. Equivalent research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R. Coding in other languages such as python, and experience with bioinformatic tools/software are an advantage.
The University of Surrey is located on a beautiful, leafy campus in Guildford, just 30 miles from London and benefitting from excellent rail and road connections. We are an ambitious, research-led organisation, committed to research excellence and to the application of our research for the benefit of society. The School of Health Sciences has a long-standing reputation for its vibrant and supportive research and teaching environment. Our new initiatives in Health and Biomedical Informatics at the University of Surrey thus offer exciting opportunities for the successful candidate to develop and further their career at Surrey in novel and emerging areas of informatics and applied data sciences. 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.
In addition to your salary, you will receive pension contributions via the Universities Superannuation Scheme, a generous annual leave entitlement, an attractive research environment, and access to a variety of staff development opportunities.
You are welcome to contact Prof. Nophar Geifman (firstname.lastname@example.org) if you would like further information or to discuss the post.
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 where appropriate , 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.
Click here to find out more about the benefits we offer to support you.
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.