Job Description

Join us to shape AI training at EMBL

Join us to shape EMBL AI, 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, agentic frameworks, and their responsible adaptation to real scientific needs.

Your responsibilities include

• Collaborate with EMBL scientists to identify training needs and translate current AI research into accessible course content
• Design, create and deliver high-quality training workshops, courses, and online materials across four core areas: practical ML and deep learning, AI for life sciences and bioinformatics, LLMs, generative AI and other foundation models, and scientifically sound and ethical AI - building on and contributing to existing open-source content rather than duplicating it
• Develop reusable open learning resources - including Jupyter/quarto notebooks, tutorials, datasets, and instructional guides - in line with FAIR and open science principles, with an emphasis on building shared, community-owned material rather than locally maintained variants of widely available content
• Run in-person and virtual training events at EMBL Heidelberg and, where relevant, 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, ELIXIR Training, and de.NBI, 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

The role is based at EMBL Heidelberg but will involve interactions with other EMBL sites and some international travel.

You have

• An 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, including 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, with the ability to engage audiences from beginners to domain experts in a multi-disciplinary and multi-cultural context.
• Strong collaboration skills, e.g. manage projects in collaboration with multiple stakeholders
• Strong organisational skills and the ability to manage multiple projects independently in a dynamic environment
• Fluency in spoken and written English

You might also 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

Why join us

The chance to shape a key emerging scientific initiative at EMBL

• Interesting, versatile workplace in an internationally competitive scientific setting
• International, attractive working environment dedicated to open science
• Campus with modern state-of-the-art infrastructure
• Competitive salary
• Possibility to work part-time, with flexible working hours and work space
• Comprehensive training and development programme

For more details refer to www.embl.org/topics/ai-at-embl/ or contact AI@embl.org

Contract length

3 years

Salary

Grade 5 or 6 depending on relevant experience (monthly salary starting at €4.031,02 before personal pension and insurance contributions, plus additional benefits after tax)

Application process

To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two weeks after the closing date.

Why join us

EMBL is curiosity-driven, community-oriented and international. As an inclusive, equal opportunity employer, we believe that diversity enables us to collaborate more effectively and be innovative in our approaches. We are, therefore, committed to creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation.

We encourage applications from individuals who can complement our existing team – we believe that success is built on having teams whose backgrounds and personal experiences reflect the diversity of the populations that our science serves. We actively encourage applications from all genders and cultures, ethnic groups and all demographics to help us avoid perpetuating biases and oversights at this transformational point in our people strategy.

Enjoy lots of benefits:

• Financial incentives: Salary free of income tax, Monthly family, child and non-resident allowances, annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

• Flexible working arrangements

• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

• Generous time off: 30 days annual leave per year, in addition to public holidays

• Relocation package including installation grant(if applicable)

• Campus life: Free shuttle bus (Heidelberg), library, subsidised on-site cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

• Family benefits: Kindergarten (Heidelberg), 10 days of child sick leave, generous paid maternity/parental leave and monthly family & child allowances

• Benefits for international newcomers: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non-resident allowance.

• For detailed information please visit our employee benefits page here

What else you need to know

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Visit our International Applicants page, to find out more.

• EMBL is a signatory of DORA. Find out how we apply DORA principles to our recruitment and performance assessment processes here

• Diversity and inclusion: At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds.

• How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two weeks after the closing date.

Closing Date

12/06/2026