Contribute to the development of the Data-driven Chemistry research area of the CTC by defining the thematics that are relevant for the CTC's Research Agenda., Facilitate interdisciplinary research activities involving data science, computational chemistry, and experimental workflows to ensure alignment with CTC's strategic goals., Identify emerging trends, tools, and methodologies in AI/ML for chemistry and assess their relevance for integration into CTC's research portfolio., Act as a liaison between data scientists, chemists, and external partners to foster collaborative projects and knowledge exchange., Interact closely with the IT and Data Management group to define the technical requirements, infrastructure features, and data architecture needed to support data-driven research activities., Support the preparation and submission of national and international research proposals, with a focus on data-driven chemical innovation., Organize and lead workshops, seminars, or internal training sessions to promote the adoption of data-centric methods within the center., Contribute to the publication of white papers or technical reports that highlight CTC's work in data-driven chemistry.