Biomedical Informatics Research Fellow: Health Data Science

Surrey

Guildford

On-site

GBP 38,000 - 52,000

Full time

7 days ago
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Job summary

The University of Surrey is inviting applications for a Research Fellow in Bioinformatics and Data Sciences, within the Veterinary Health Innovation Engine (vHive) and the Health and Biomedical Informatics Group. The role focuses on applying data-science, machine learning and informatics to improve animal health, with strong industry collaboration including Zoetis.

You will design analyses, repurpose techniques, and lead computational approaches across proteomics and transcriptomics to generate

Qualifications

  • PhD in health, medical or bio-informatics, epidemiology, data sciences, or related subject.
  • Strong quantitative research skills with hands-on experience in health data sciences.
  • Experience applying informatics pipelines to health/biomedical data.
  • Programming experience, preferably in R; Python is an advantage.

Responsibilities

  • Apply and repurpose informatics and data-science methods to health data.
  • Perform data analysis to identify insights and opportunities.
  • Collaborate with industry partners and researchers across the UK and internationally.
  • Contribute to biomarker discovery and precision medicine-led research.
  • Support drug repurposing/discovery and pharmacovigilance efforts.

Skills

Informatics pipelines
R programming
Python
Machine learning
Communication skills

Education

PhD in health/biomedical informatics

Tools

R
Python

Job description

The University of Surrey is inviting applications for a Research Fellow in Bioinformatics and Data Sciences, within the Veterinary Health Innovation Engine (vHive) and the Health and Biomedical Informatics Group. The role focuses on applying data-science, machine learning and informatics to improve animal health, with strong industry collaboration including Zoetis.

You will design analyses, repurpose techniques, and lead computational approaches across proteomics and transcriptomics to generate

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