Research Associate: Health Informatics & Terminologies

Academic Positions

Belgique

On-site

EUR 45,000 - 65,000

Full time

7 days ago
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Benefits offered by this job

36 days holiday leave
Bicycle allowance
Eco vouchers

Job summary

Ghent University invites applications for a research-focused position at the intersection of health informatics, medical terminologies, ontologies and artificial intelligence. You will contribute to semantic interoperability efforts between SNOMED-CT and WHO classifications to improve health data interoperability in clinical and research settings.

The role emphasizes development of methods and tools for semantic mapping, with collaboration across multidisciplinary teams and international

Qualifications

  • Master's degree in one of Health Sciences, Medicine, Health Informatics, Computer Science or equivalent.
  • Strong interest in research on medical information standards and terminologies.
  • Strong analytical skills and a precise, structured work approach.
  • Ability to work independently and in a multidisciplinary team.
  • Excellent written and spoken English.

Responsibilities

  • Contribute to research projects focusing on medical terminologies, international classification systems and semantic interoperability of health data.
  • Contribute to development of methods and tools enabling semantic mapping and interoperability between SNOMED-CT and classification systems such as ICPC-3, ICF, ICHI and other WHO classifications.

Skills

Analytical skills
English communication
Independent & teamwork
Programming skills

Education

Master’s degree in Health Sciences/Medicine/Health Informatics/Computer Science

Job description

Ghent University invites applications for a research-focused position at the intersection of health informatics, medical terminologies, ontologies and artificial intelligence. You will contribute to semantic interoperability efforts between SNOMED-CT and WHO classifications to improve health data interoperability in clinical and research settings.

The role emphasizes development of methods and tools for semantic mapping, with collaboration across multidisciplinary teams and international

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