Health Sciences Research
Salary: £33,309 to £40,927
Post Type: Full Time
Closing Date: 23.59 hours BST on Tuesday 10 May 2022
This is a rare opportunity for a talented, motivated postdoctoral fellow to work on a number of exciting 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 set up and run studies on a number of clinical and medical research questions, using large-scale health such as from the UK BioBank and other large patient cohorts, as well large biomedical data such as ‘omics (genomics, proteomics, metabolomics). The overall programme of research will be jointly developed by Prof. Nophar Geifman and the person appointed. As such, 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 in health or biology will be essential. The post will offer opportunities to apply a variety of data sciences approaches and work with additional 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 Bio- or Medical Informatics, Health Data Sciences or a related subject, ideally with a focus on utilising large-scale patient-level data and the application of advanced data analysis methods such as machine-learning. Equivalent research or industry experience will also be considered. Good statistical 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 organization, 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 ([email protected]) 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.
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.