Research Fellow in Biomedical Data Sciences

University of Surrey; Guildford; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading university in the UK is seeking an enthusiastic postdoctoral fellow in data-sciences to work on human and veterinary health studies. The successful candidate will employ large health datasets and collaborate with industry and research partners. Candidates should hold a PhD in medical informatics or a related field, possess strong quantitative research skills, and be familiar with bioinformatics pipelines and programming languages like R and Python.

Qualifications

• Experience in application of bioinformatics pipelines to omics data.
• Strong statistical and analytical skills.
• Ability to work with large-scale health/biomedical data.

Responsibilities

• Plan, design, and execute studies using large health and biomedical datasets.
• Work collaboratively with industry partners and research institutes.
• Develop new algorithms and advanced computational methodologies.

Skills

Quantitative research skills

Bioinformatics pipelines

Good communication skills

Statistical and analytical skills

R programming

Python coding

Education

PhD in medical or bio-informatics, epidemiology, data sciences

Tools

Bioinformatic tools/software

Job description

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.

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.

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