EMBL
Molecular Biology
AITrainingOfficer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Training Officer at EMBL. Skills: AI training, Machine Learning, Large Language Models, Responsible AI, Python, Training Design and Delivery. design, develop, and deliver training programmes for EMBL's internal research community and external academic researchers. structured group training and direct one-on-one consulting with researchers”
What You'll Achieve.
ensure that researchers at EMBL and beyond have the skills, confidence, and critical understanding to use AI effectively; contribute to developing a world-class AI training portfolio; continuously improve training quality and long-term impact
Industry & Context.
starting from their specific scientific problems and needs, rather than from methods alone
international travel, in-person and virtual training events at EMBL Heidelberg and, where relevant, across EMBL's network of six European sites, Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year
What They're Looking For.
Must Have
Advanced university degree in a pedagogical, computational, quantitative, or life science discipline with a track record in computational work, Experience in collaborative design, creation and delivery of technical curricula and training or teaching, including hands-on practical sessions, for diverse scientific audiences, Demonstrated hands-on experience in developing and applying machine learning or AI methods in a research or applied science context, Solid programming skills in Python, Familiarity with ML/DL libraries (e.g. PyTorch, scikit-learn, HuggingFace Transformers), Familiarity with use of large language models or other foundation models as research tools in a life science research context, Understanding of responsible AI principles, including fairness, bias, transparency, and research ethics, Excellent communication and facilitation skills, collaboration skills, organisational skills and the ability to manage multiple projects independently in a dynamic environment, Fluency in spoken and written English
Nice to Have
Experience applying AI to biological or biomedical questions (e.g. protein structure prediction, genomics, bioimage analysis), Experience with course development tools and learning platforms (e.g. Jupyter Book, Galaxy Training Network, Moodle), Experience contributing to open training communities such as The Carpentries, ELIXIR, or de. NBI, A teaching or training qualification, Experience with stakeholder analysis, training needs analysis, or competency framework development
What You'll Do.
and deliver training programmes for EMBL's internal research community and external academic researchers
structured group training and direct one-on-one consulting with researchers
translate complex AI methods into accessible
hands-on learning experiences
Collaborate with EMBL scientists to identify training needs and translate current AI research into accessible course content
create and deliver high-quality training workshops
and online materials across four core areas: practical ML and deep learning
AI for life sciences and bioinformatics
generative AI and other foundation models
and scientifically sound and ethical AI
Develop reusable open learning resources - including Jupyter/quarto notebooks
and instructional guides
Run in-person and virtual training events at EMBL Heidelberg and
across EMBL's network of six European sites
Conduct training needs analysis and gather learner feedback to continuously improve training quality and long-term impact
Represent EMBL-AI in external training communities
including The Carpentries
contributing to shared standards and resources
Support grant applications and reporting related to training activities
Maintain training communications and web content
and support the dissemination of EMBL-AI training activities
How You'll Work.
Team & Collaboration
work closely together with EICAT, EMBL's International Centre for Advanced Training; Collaborate with EMBL scientists; collaboration skills, e.g. manage projects in collaboration with multiple stakeholders; interactions with other EMBL sites
Communication Scope
Excellent communication and facilitation skills; ability to engage audiences from beginners to domain experts in a multi-disciplinary and multi-cultural context; Maintain training communications and web content
Process & Methodology
manage multiple projects independently in a dynamic environment
Full Job Description
**Join us to shape AI training at EMBL** Join us to shape [_EMBL AI_](https://www.embl.org/topics/ai-at-embl/) , a new EMBL-wide initiative that aims to exploit the full potential of AI-based approaches to advance scientific discovery. The European Molecular Biology Laboratory (EMBL) has long been a pioneer in developing and applying Artificial Intelligence (AI) to advance research in genomics, structural biology, and drug discovery. Innovative AI models like AlphaFold have already revolutionised protein structure prediction, and EMBL AI is now building the infrastructure, expertise, and community needed to take this further - across all of EMBL's missions and the wider life sciences research community. Training is central to this ambition. Your role will bridge EMBL AI and the Data Science Centre (DSC), and you will work closely together with EICAT, EMBL's International Centre for Advanced Training. As AI Training Officer, you will play a key role in ensuring that researchers at EMBL and beyond have the skills, confidence, and critical understanding to use AI effectively. Drawing on the expertise of EMBL-AI scientists and the DSC, and building on EICAT's institute-wide training infrastructure and networks, you will contribute to developing a world-class AI training portfolio - one that spans practical tools, biological applications, large language models, and respon sible AI practice. Your role You will design, develop, and deliver training programmes for two audiences: EMBL's internal research community and external academic researchers. This includes both structured group training and direct one-on-one consulting with researchers - starting from their specific scientific problems and needs, rather than from methods alone. Working at the interface of cutting-edge AI research and scientific education, you will translate complex AI methods into accessible, hands-on learning experiences - from practical machine learning and AI for biology, to foundation models, agent
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