Data Scientist - Biodiversity Informatics

The appointment is a full-time project position until the end of the project in May 2025. The position will be associated with the Norwegian Participant Node (GBIF Norway) of the Global Biodiversity Information Facility (GBIF) and based at the University of Oslo Natural History Museum in Oslo. The appointed candidate will take part in a multinational team for delivering the responsibilities of UiO for the Horizon Europe-funded Biodiversity Twin (BioDT) project and be responsible for working with biodiversity information standards for the content data streams in collaboration with project partners and international standards bodies. BioDT’s objective is to create a first-in-class digital twin prototype for the advanced modeling and prediction of biodiversity and its patterns. Through practical user cases, it will address critical issues related to global biodiversity dynamics, and support science-based decision-making for the protection and restoration of our earth’s biodiversity.

Your tasks:

• Capture requirements and coordinate collaboration on data standards from across the research infrastructures (RIs) of GBIF, Distributed System of Scientific Collections (DiSSCo ESFRI), Long-Term Ecosystem Research in Europe (eLTER ESFRI), and the LifeWatch ERIC.
• Documenting and communicating data content and data quality requirements, and addressing issues diagnosed in relation to the data standards for ecological data and other data types for the BioDT use cases.
• Contribute to the implementation of processes and data flows from environmental databases to ecological models, including data quality and fitness for use checks.
• Disseminating captured project requirements and results from the improvement of the data standards at relevant conferences and in peer-reviewed scientific journals.
• Interact with task groups of the Biodiversity Information Standards (TDWG) community and other relevant stakeholders involved in the development of the biodiversity information standards and vocabularies for the data streams to the BioDT use cases.
• Collaborating with other project team members at the GBIF Secretariat to mobilize new data resources through interactions with the biological community. Supporting data publishers, and data users with data standards-related questions.
• Supporting the wider network of project partners and collaborators through technical support and training, including a strong communication component (email, video calls, etc.).