Remote FAIR Data Expert for Environmental Health Research

VITO; Mol; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary with allowances and

Insurance and modular holidays package

Training opportunities

Flexible work arrangements

Work–life balance

Job summary

VITO seeks a FAIR Data Expert to lead development and application of FAIR data approaches for environmental health research in Mol, Belgium. You will collaborate with researchers, data stewards, and engineers to make complex datasets findable, accessible, interoperable, and reusable.

Responsibilities include implementing FAIR enabling resources, validating data reuse, and shaping European data infrastructures with long-term impact across borders.

Qualifications

• Master degree or equivalent in a relevant field.
• Minimum 2 years applying FAIR data principles in research.
• Experience with semantic interoperability, vocabularies, ontologies, data schemas.

Responsibilities

• Lead implementation of FAIR data principles in research data infrastructure.
• Contribute to design and execution of environmental health research projects.
• Drive adoption of FAIR data infrastructure through user-oriented resources and training.

Skills

FAIR data principles

Semantic interoperability

Linked data technologies

APIs

Data modeling

Scientific collaboration

Education

Master's degree in data science, bioinformatics, computational biology, epidemiology, environmental or health sciences

Tools

APIs

RDF/OWL/Linked Data technologies

Semantic web technologies

Job description

VITO seeks a FAIR Data Expert to lead development and application of FAIR data approaches for environmental health research in Mol, Belgium. You will collaborate with researchers, data stewards, and engineers to make complex datasets findable, accessible, interoperable, and reusable.

Responsibilities include implementing FAIR enabling resources, validating data reuse, and shaping European data infrastructures with long-term impact across borders.