To support teaching and research, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment. Scientific IT Services (SIS, a section of ITS) aim at bridging the gap between computational research and IT service and infrastructure provisioning and provide a stimulating, flexible and family-friendly working environment. SIS are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software to the operation of high performance and cloud computing infrastructures. SIS are currently seeking to appoint a Research Data Management Expert (w/m).
Your primary responsibility will be supporting the scientific community at ETH Zurich and beyond in the broad and increasingly important area of research data management (RDM). You will be a consultant and trainer for ETH researchers to improve RDM practices (in collaboration with colleagues from the ETH Library), work closely with researchers to get a good understanding of their data lifecycles and translate their requirements into RDM solutions. You will be an expert and customer account manager for ETH labs to introduce and fully utilize the RDM services SIS is offering to ETH researchers. This includes the ETH Research Data Hub and ETH Research Data Nodes (both based on the openBIS RDM platform) as well as the novel Paperplane service. You will provide support for and improve these services. Initially, an important focus area of the position will be to establish the new Paperplane RDM service of SIS. You will work as liaison in an agile team of interdisciplinary experts, bridging the gap between PIs, scientists, lab coordinators and software engineers.
The successful candidate has a PhD or master degree in a natural/exact scientific discipline, computer science or a related field with prior working experience in a research environment. He or she must have a good overview of the data lifecycle in a typical academic research environment, preferably with hands-on experience on research data management platforms, experience in service delivery or customer support and a basic knowledge in science IT (e.g. Linux, scripting languages, client/server architecture, etc.). A solid understanding of the FAIR data principles is a definitive advantage.
In addition to analytical abilities, this position requires good working knowledge of the English language, an open and communicative personality with good presentation skills, the ability to manage multiple projects and requests at the same time, and a customer-oriented attitude to successfully support scientific research and collaborations within and beyond ETH Zurich. The position is located in Zurich or Basel with expected travels to Basel or Zurich and other Swiss academic institutions to meet our scientific customers.