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- Tasks: Join us to explore human and animal health through data science and innovative research.
- Company: Be part of the University of Surrey, a leading institution in education and research.
- Benefits: Enjoy collaborative projects, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in health research while working with cutting-edge data and technology.
- Qualifications: PhD in relevant fields and strong quantitative skills are essential; experience in bioinformatics is a plus.
- Other info: Collaborate with industry partners and contribute to groundbreaking studies on disease biomarkers.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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Research Fellow in Biomedical Data Sciences employer: University of Surrey
Contact Detail:
University of Surrey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Biomedical Data Sciences
✨Tip Number 1
Network with professionals in the biomedical data sciences field. Attend relevant conferences, workshops, or seminars where you can meet researchers and industry partners. This will not only help you learn about the latest developments but also give you a chance to express your interest in the position directly.
✨Tip Number 2
Familiarise yourself with the specific research interests of Prof. Nophar Geifman and the Health and Biomedical Informatics Research Group. Understanding their current projects and methodologies will allow you to tailor your discussions and demonstrate how your skills align with their goals during any interviews or networking opportunities.
✨Tip Number 3
Showcase your hands-on experience with bioinformatics pipelines and large datasets in conversations. Be prepared to discuss specific projects where you've applied advanced data analysis methods, particularly machine learning, as this will highlight your practical skills and suitability for the role.
✨Tip Number 4
Brush up on your coding skills, especially in R and Python. Consider working on small projects or contributing to open-source initiatives that involve bioinformatics tools. This will not only enhance your technical abilities but also provide concrete examples to discuss during interviews.
We think you need these skills to ace Research Fellow in Biomedical Data Sciences
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in biomedical data sciences, particularly any hands-on work with bioinformatics pipelines and large datasets. Emphasise your quantitative research skills and any specific projects that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the research group. Discuss how your background in medical or bio-informatics and your experience with advanced data analysis methods make you a strong candidate. Be sure to mention any collaborative projects you've worked on.
Highlight Communication Skills: Since the role involves disseminating information to both academic and non-academic audiences, provide examples of how you've effectively communicated complex data findings in previous roles. This could include presentations, publications, or community outreach.
Showcase Technical Proficiency: Detail your experience with programming languages such as R and Python, as well as any bioinformatic tools or software you've used. If you've developed algorithms or methodologies, be sure to mention these contributions as they are highly relevant to the position.
How to prepare for a job interview at University of Surrey
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those involving large health and biomedical datasets. Highlight any specific methodologies you used and the outcomes of your work.
✨Demonstrate Your Technical Skills
Make sure to mention your proficiency in R and any experience with bioinformatics tools. If you've worked with Python or other coding languages, be ready to explain how you've applied these skills in your research.
✨Communicate Clearly
Since the role involves disseminating information to both academic and non-academic audiences, practice explaining complex concepts in simple terms. This will show your ability to communicate effectively across different groups.
✨Prepare for Collaborative Questions
Expect questions about teamwork and collaboration, as this position involves working with various partners. Think of examples from your past experiences where you successfully collaborated on research projects.
