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Research Fellow - Health and Biomedical Data Sciences

Health Sciences Research

Location:  Guildford
Salary:  £33,309 to £40,927 per annum
Fixed Term
Post Type:  Full Time
Closing Date:  23.59 hours GMT on Thursday 24 February 2022
Reference:  068421-R

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 multi-morbidity in aging populations, using large-scale data such as from the UK BioBank and other large patient cohorts. Over the course of three years, we will develop the project from this initial starting point offering flexibility to the post holder. 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 drug repurposing, ‘omics data analyses, and advanced computational methodologies for integrated analyses. 

One goal will be to identify patterns of multi-morbidity and their association with clinically relevant outcomes, as well as predictive biomarkers. An increasingly aging population has led to a rise in chronic medical conditions. Multimorbidity, the presence of more than one illness, is highly prevalent and is associated with increased healthcare use, decreased quality of life, and higher mortality. Nevertheless, much of current medical practice and education fails to consider this. Accounting for the complexity in multimorbidity could improve clinical trials, delivery of care, and ultimately patient outcomes.

 

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 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. 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 (n.geifman@surrey.ac.uk) if you would like further information or to discuss the post

Further details:    Job Description    
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Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£32,344) to successful applicants who have been awarded, but are yet to receive, their PhD certificate.  Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£33,309).


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