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) 80-100%
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 Responsibilities
Contribute to internal training onboarding and user documentation related to scientific data work-flows
Collaborate with researchers to understand and respond to specific data-related needs
Develop modern user interfaces and data visualizations using tools such as Python R JavaScript or similar
Assist with scripting and automation of data workflows in support of scientific reproducibility
Developing 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 cycle
Provide guidance on data formats metadata and best practices aligned with FAIR principles
Participate in collaborations with other institutes in the ETH domain working closely with WSL to support joint projects and initiatives
Required Qualifications
Degree in natural sciences chemistry engineering computer science or a related field; or equivalent relevant experience
Programming proficiency in research-relevant languages (e.g. Python R JavaScript SQL)
Familiarity with Linux/Unix environments and common scientific data processing tools
Experience with HPC computing environments would be advantageous
Experience with data visualization and user interface development
Strong service orientation and interpersonal communication skills
Candidates need to be fluent in written and spoken English while knowledge in German would be an asset
The position further requires a high level of organisation time management teamwork and communication skills
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