Research associate: AI

The role combines hands-on evidence synthesis with the development and evaluation of AI-driven approaches to make evidence synthesis processes more efficient. You will work on manual evidence-synthesis tasks, while also using Python and/or R to build and validate machine learning, automation and AI-assisted workflows for searching, eligibility screening, and (meta)data extraction. Your work will also contribute to new meta-research on how, and under what conditions, automated and AI-based tools