Health Data Science & Biomedical Informatics Fellow

Institute for Modern; Guildford; On-site; GBP 35,000 - 45,000; Full time

Job summary

The University of Surrey in Guildford offers a postdoctoral fellowship in health data-sciences and biomedical informatics as part of the Veterinary Health Innovation Engine (vHive) and the Health and Biomedical Informatics Group. The role emphasizes applying informatics, data science, ML and AI to advance animal health and welfare.

You will work in multidisciplinary teams, develop computational methods, perform biomarker analyses, and collaborate with Zoetis and partners across the UK and

Qualifications

• PhD required in health, medical or bio-informatics, epidemiology, data sciences, or related field.
• Excellent statistical and analytical skills are required.
• Strong quantitative research experience with real-world datasets.
• Experience applying informatics pipelines to health/biomedical data.
• Proficiency in R and Python is advantageous.
• Strong communication skills for academic and industry stakeholders.

Responsibilities

• Plan, design and execute analyses on varied health data projects.
• Apply informatics pipelines and data-science methods to derive insights.
• Collaborate with multidisciplinary teams including industry partners and other universities.
• Model drug repurposing/discovery and biomarker analysis in silico.
• Interpret and communicate results to academic and non-academic audiences.

Skills

Quantitative research

R

Python

Informatics pipelines

Statistical analysis

Communication

Education

PhD in health/biomed informatics/epidemiology/data science

Tools

R

Python

Bioinformatic tools

Job description

The University of Surrey in Guildford offers a postdoctoral fellowship in health data-sciences and biomedical informatics as part of the Veterinary Health Innovation Engine (vHive) and the Health and Biomedical Informatics Group. The role emphasizes applying informatics, data science, ML and AI to advance animal health and welfare.

You will work in multidisciplinary teams, develop computational methods, perform biomarker analyses, and collaborate with Zoetis and partners across the UK and