Data Steward – FAIR Environmental Health Data

As a globally recognized research center, VITO aims to accelerate the transition toward a sustainable world. With our Health research program, we pioneer a preventive approach to health care and support societal transitions. One of the pillars of our approach is the prevention of diseases caused by environmental pollution.

Our research relies heavily on data from population studies, including human biomonitoring, environmental exposure and health research. By combining chemical measurements in humans and the environment, exposure models, health data and lifestyle factors (such as diet, stress and green space), we identify health risks and support preventive actions.

We are looking for a Data Steward to strengthen our team. You will contribute to the governance, FAIRification and interoperability of environmental health data within large Flemish and European research initiatives.

Key aspects of the role include ensuring legal and ethical compliance in the handling of sensitive personal data (GDPR), implementing FAIR data principles, safeguarding data quality, and applying or developing domain-specific standards.

Through your work, you will support researchers and external partners in the management, integration and reuse of health, exposure and chemical substance data. You will also contribute to improving the interoperability, discoverability and reuse of chemical and molecular health information across databases, standards and research infrastructures.

You will play a pivotal role in the European Partnership for the Assessment of Risks from Chemicals (PARC) and in the European Research Infrastructure for human Exposome (EIRENE), helping to position environmental health data within the evolving European data landscape, including the European Health Data Space (EHDS).

Are you driven by data and committed to making a positive impact on health and the environment? Read on!

• Driving the adoption of FAIR data management and governance practices across national and international research projects.

• Developing and implementing data management plans, access procedures and data sharing agreements.

• Supporting researchers and partners in the management, integration, sharing and reuse of environmental health, exposure, biomonitoring and chemical data.

• Ensuring legal, ethical and security compliance, including GDPR requirements, for sensitive research data.

• Developing and improving FAIR data infrastructures, standards and semantic solutions that enhance data quality, interoperability, discoverability and reuse.

• Collaborating with internal and external stakeholders in European initiatives, such as PARC and EIRENE, and providing guidance and training on data stewardship practices.

• You hold a Bachelor’s or Master’s degree in a relevant scientific, health or data-oriented discipline. We welcome candidates with a strong interest in research data management, FAIR data principles and data stewardship.

• You have experience with data management, data stewardship, research support or related activities.

• You have demonstrated experience with the FAIR data principles and their implementation, e.g. through the development or use of metadata standards, ontologies or data repositories.

• You can apply your knowledge of legal and ethical requirements related to data obtained from population studies, including GDPR principles, in a research setting.

• You have experience working with health, exposure, chemical or molecular information resources, including databases, identifiers, controlled vocabularies and semantic technologies that support data interoperability and reuse.

• You have experience with using Python and scientific data processing libraries (e.g. pandas, Polars, Num Py, Sci Py) and are comfortable understanding, testing and troubleshooting data processing workflows and data platform configurations.

• You are passionate about bridging research and technology, and enjoy working closely with both researchers and technical experts to translate data management requirements into practical implementations within data platforms, workflows and configurations. You are communicative and can express yourself fluently in…