Helmholtz-Zentrum Hereon

The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,000 employees contribute to the tackling of climate change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers a unique range.


Institute of Functional Materials for Sustainability

Studies are focused on the development of functional materials for renewable energies and biological applications in order to enable a sustainable future. Current topics range from solar fuel production, to waste upcycling for additive manufacturing, and sustainable plastic-like materials for biological applications. We span materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery.


Data Steward (m/f/d)

JobID: 1037 - 2026/WG 3
Location: Teltow
Application deadline: 15th July, 2026


For the Institute of Functional Materials for Sustainability, Helmholtz-Zentrum Hereon, we are looking as soon as possible for a Data Steward. The position can also be filled on a part-time basis and is initially limited to one year, with a clear prospect of extension based on strong performance.


Equal opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position.
A data steward sits between science, administration, IT and compliance. In the ELN environment, this means in concrete terms:



ensure data quality, consistency, timeliness and completeness
define and maintain data standards, metadata, and ontologies
support users (e.g. scientists) with structured data entry
supporting governance issues (access rights, audit trails, GxP, etc.)
improve ELN workflows (analyze and optimize paper-based or legacy lab workflows into digital formats)
support of the institute in the introduction of the ELN
train and empower users
support in the implementation of data governance and compliance requirements
identify, analyze, and remediate data quality issues
collaboration in migration and digitization projects
Professional:



a degree in computer science with understanding of scientific work in natural sciences, or a degree in the natural sciences (e.g. materials science, chemistry, physics, life sciences) with knowledge of computer science.
experience in data management, ideally in a laboratory environment
knowledge of data structures, metadata and FAIR principles
experience with the introduction and handling of ELN, UMS or similar systems is a plus
participation in the preparation and review of data management plans (DMPs) in accordance with the specifications of funding agencies (e.g. DFG, EU)
ensuring the FAIR principles (Findable, Accessible, Interoperable, Reusable)
participation in working groups of the Institute and possibly of the Center


Technical:



basic understanding of databases and interfaces (APls are an advantage)
experience in data modelling or structured information preparation
affinity for digital tools and systems
familiarity with data preservation and long-term archiving standards


Soft Skills:



clear communication (interface between business and IT)
strong scientific understanding (for our interdisciplinary work)
structured, process-oriented way of working
ability to take users on board and accompany change independent and proactive
ability to communicate complex technical issues in an understandable way
independent and proactive
high ability to work in a team
willingness for continuous professional development

an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations
a well-connected research campus (public transport) and best networking opportunities, subsidy for the Deutsch...