Post-doctoral Researcher in FAIR Bioimaging Data Management

The Netherlands BioImaging Infrastructure (NL‐BI) is a nation-wide initiative that enables and supports scientific breakthroughs in bioimaging across experimental models and imaging modalities. NL-BI provides researchers with access to cutting-edge microscopy facilities, as well as data management and image analysis (DMA) infrastructure.

We are excited to announce a postdoctoral position in NL-BI focused on Data Management and Analysis. We are designing and implementing a distributed FAIR data management system for microscopy research data, to enable reuse and improve the reproducibility of image analysis workflows. In this position, you would play a leading role in coordinating these developments as part of a national, interdisciplinary team, collaborating with international partners.

As a Postdoctoral Researcher in the NL-BioImaging consortium, you will play a crucial role in our dynamic and collaborative research environment, promoting and enabling FAIR bioimaging approaches and contributing to broader initiatives in Euro-Bioimaging and Global Bioimaging. The role requires knowledge and experience in both bioimaging methods and data management.

Your primary responsibilities will include:

• Coordination of the data management infrastructure roll-out across the 18 NL-BioImaging nodes: Our data management approach is based on a FAIR implementation of the OMERO database, with each NL-BI node instantiating their own local database, sharing metadata at the National level.
• Leading the development of FAIR (meta)data annotation approaches: We support the whole data life-cycle of planning, acquisition, image analysis and sharing/reuse. Data annotation and metadata standardisation are key requirements.
• Designing and developing components of the National bioimaging workflow infrastructure for FAIR and Reproducible research: You will work on developing imaging modules and workflows that enable reproducible analyses and reusable imaging methods, following the FAIR principles.
• Research Data Management policy development: You will help to shape the future of FAIR bioimaging as part of the national and international communities
• Promoting and enabling FAIR and Reproducible Research: You should enable and encourage best practices in FAIR bioimaging, by running training courses and consultancy for users at Amsterdam UMC, the Leiden FAIR Cell Observatory, and the wider NL-BI network
• Publication and Presentation: Publish your research findings in top-tier journals and present your work at national and international conferences, contributing to the scientific community's body of knowledge.

Requirements:

• A Ph.D. in Bioimaging, Bioinformatics, Computer Science or related discipline;
• Demonstrable experience with data management, preferably image data management and/or FAIR data;
• Strong written and oral communication skills in English, with the ability to convey complex concepts to diverse audiences;
• Proficiency in programming languages or data analysis tools (e.g., Python, R);
• Demonstrable experience in conducting independent research and publishing in scientific journals.

Preferred/Desired Experience:

• A track record of successful collaboration in interdisciplinary projects;
• Experience in semantic web technologies (e.g. ontologies and RDF);
• A committment to FAIR and Open science.