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EMBL‑EBI Training seeks a Head of EMBL‑EBI Training to lead strategy, innovation, and delivery from Hinxton, reporting to the Head of EICAT. You will guide the EMBL‑EBI Training team and contribute to the EICAT leadership group, shaping data-science training and AI-enabled initiatives across open science and capacity building.
You will influence global training ecosystems with partners like ELIXIR, UNESCO, and EOSC, driving open, FAIR, inclusive data science training for the global life‑science
Lead global training in open biodata and AI
Training and inspiring researchers at all career levels is one of EMBL’s five missions. The EMBL International Centre for Advanced Training (EICAT) coordinates scientific training across EMBL’s six sites, and provides a large portfolio of training and public engagement activities for internal audiences, the global scientific community as well as the general public. As an important part of EICAT’s remit, the EMBL-EBI training team ensures that millions of researchers can use the EMBL-EBI data resources, some of the world’s most critical open data resources in molecular biology, effectively, equitably, and at scale. We are recruiting a Head of EMBL-‑EBI Training to lead this work and shape its future direction.
You will report to the Head of EICAT and have a secondary reporting line to the Head of Knowledge Management Section at EMBL-EBI. You will lead the EMBL-EBI Training team from Hinxton, and contribute as a member of the EICAT leadership team.
You will drive the strategy, innovation, and delivery of one of the world’s most influential bioinformatics training programmes and ensure that it responds to developments in the areas of data science and AI. This is a unique opportunity to lead at the intersection of open science, AI, and global capacity building, at a time when the use of open data for training AI models is transforming research.
5 years, renewable to a maximum of 9 years
Grade 9, monthly salary from £5,982.74 after tax, plus generous benefits and financial allowances based on family circumstances. Excluding personal pension and insurance contributions.