Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems. Eawag is looking for a Scientific Data Applications Specialist (m/w/d)% In Scientific-IT we focus on building and maintaining the digital foundations of research at Eawag. Our services range from high-performance computing and cloud solutions to research data management and software development. Embedded in the IT department, we support a wide variety of scientific workflows, offering tools and infrastructure that are secure, scalable, and tuned to researchers' needs. Collaborating closely with scientists we help ensure that Eawag remains a global leader in aquatic sciences.Key ResponsibilitiesContribute to internal training, onboarding, and user documentation related to scientific data work-flowsCollaborate with researchers to understand and respond to specific data-related needsDevelop modern user interfaces and data visualizations using tools such as Python, R, Java Script, or similarAssist with scripting and automation of data workflows in support of scientific reproducibilityDeveloping concepts for IT-solutions including hard- and software for specific needs in research departments Advise and support researchers in the organization, documentation, and processing of research data across the data life cycleProvide guidance on data formats, metadata, and best practices aligned with FAIR principlesParticipate in collaborations with other institutes in the ETH domain, working closely with WSL to support joint projects and initiativesRequired Qualifications Degree in natural sciences, chemistry, engineering, computer science, or a related field; or equivalent relevant experienceProgramming proficiency in research-relevant languages (e.g. Python, R, Java Script, SQL)Familiarity with Linux/Unix environments and common scientific data processing toolsExperience with HPC computing environments would be advantageousExperience with data visualization and user interface developmentStrong service orientation and interpersonal communication skillsCandidates need to be fluent in written and spoken English, while knowledge in German would be an assetThe position further requires a high level of organisation, time management, teamwork, and communication skillsEawag is a modern employer and offers an excellent working environment where staff can contribute their strengths, experience, and ways of thinking. We promote gender equality and are committed to staff diversity and inclusion. The compatibility of career and family is of central importance to us. For more information about Eawag and our work conditions please consult