Research Fellow in Biomedical Data Sciences

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. 

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.  

The role

This is an exciting new opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel biomarkers for disease. You will be joining the University of Surrey’s Health and Biomedical Informatics Research Group, where you will work on clinical and medical research questions, using large health and biomedical datasets from patients, companion animals and livestock, as well as large omics datasets such as proteomics and 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. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical/biological datasets.

About you

Strong quantitative research skills with hands-on experience are essential. You must have experience in application of bioinformatics pipelines to omics data (outside educational settings). You will need good communication skills, and will be 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 and experience with bioinformatic tools/software. Coding in other languages such as python, is an advantage. 

Further information

Please apply by uploading a CV and a covering letter. You will also be asked some brief questions to help us understand your suitability for the position.

You are welcome to contact Prof. Nophar Geifman (n.geifman@surrey.ac.uk) if you would like further information or to discuss the post.

Online interviews will be held between 15th and 26th September.

We reserve the right to close the role early if a suitable candidate is identified.

Studies have shown that women and other minoritised groups are less likely to apply for jobs unless they meet every single criteria. In the School of Health Sciences, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you are excited about this role but your experience does not align perfectly with what is stated, we encourage you to contact us to discuss. You may be just the right candidate for this or other roles.

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