Your group The Data Science Centre aims to facilitate research advances in data science, offers internal and external services, tools and resources, develops common representations (data, conventions, workflows) and contributes to training and career development. The Data Science Centre collaborates with all EMBL sites to progress internal and external training, integrated data management, scientific workflow sharing, AI, provision of public data services, and technical infrastructure. One of our missions is to provide high-quality, publicly available materials. We are currently expanding our training offers with the aims of covering more topics in the area of biostatistics and scientific coding, and making existing materials applicable for self-learning and reusable by other trainers (FAIR materials). With this call, EMBL is seeking an intern at the Data Science Centre. You will be preferentially based in Heidelberg, but other options can be discussed, and collaborate with members from EMBL’s Analysis Centres and the Bio-IT support community, as well as the Data Management Coordination. Your role As part of our team, you can contribute to the following specific areas: Augment and FAIRify existing biostatistics training materials: This includes both creative tasks like writing text, and creating videos and illustrations, and technical tasks such as producing code and figures in R, compiling interactive online tutorials, and maintaining git repositories. Develop new training materials: For this task you will collaborate with the respective experts at EMBL. This task is suitable for you, if you have a strong background in computational biology. We are open to your topic proposals. Training: If you are interested in expanding your teaching experience (e.g. within internal courses or small informal sessions), you can use a diverse set of existing materials, or join courses as a helper. If you develop materials during this internship, there are opportunities to teach those, too. Project management: You’ll have the opportunity to take part in training preparation, administration and communication with the course participants, both with regard to internal training, and through the EU-funded training project BioNT. The tasks can be adapted to your skills and learning objectives. For your application, please describe your background and the tasks you are most interested in. You have Requirements: Solid understanding of undergraduate maths Good writing and communication skills Motivation and ability to work independently You may also have A background in molecular biology Basic knowledge of (R) programming is an advantage Contract length and Salary The r emuneration and contract length will be discussed depending on the availability of the candidate to work full-time or part-time, and on site or partially remotely. Generally, the first contract corresponds to four months full-time and is extendable once.