Scientific Content & Knowledge Engineering, Working Student (mfd)

Hey there! Were datin GmbH a vibrant startup based in Karlsruhe. We are on a mission to revolutionize the world of Research & Development with our cutting-edge AI-native infrastructure.

We believe that AI will only accelerate science if it is built on a foundation of structured high-quality information. We are the architects of that foundation.

We are looking for a student from the natural or engineering sciences who wants to move beyond the lab bench and shape the future of digital R&D. In this role you wont just be handling data; you will be designing the semantic bridges that connect isolated scientific discoveries. You will help define how machines understand science creating the connective tissue that transforms raw information into a powerful Knowledge Graph.

Tasks

• Strategic Knowledge Integration: Identify high-value dataset sources and design the logic to integrate them into our platform ensuring data from different scientific fields can finally talk to each other.
• Content Design: Create the structural frameworks for our clients. This involves designing specialized Glossaries and Data Templates that define how researchers capture and organize their experiments.
• Method Development: Develop the concepts and file parsers needed to translate unstructured research outputs (papers raw files) into FAIR (Findable Accessible Interoperable Reusable) digital assets.
• FAIR Data Enablement: Act as a consultant for the scientific community supporting researchers in adopting FAIR principles and preparing their data for the AI era.

Requirements

• Educational Background: Currently enrolled in a Natural Science (Physics Chemistry Materials Science) or Engineering degree. You understand the complexity of scientific data.
• Structural Thinking: You enjoy thinking in abstract patterns and systems. You dont just see numbers; you see the relationships between them.
• Technical Foundations: Familiarity with scripting (e.g. Python) to implement the integration methods you design.
• Communication: Strong ability to communicate complex concepts both to our internal team and to external researchers.
• Bonus: An interest in Semantic Web technologies (Knowledge Graphs Ontologies) or Library/Information Science is a major plus.

Benefits

• Above-average compensation
• Flexible working hours
• Free beverages
• Public transportation benefits
• Remote work
• Travel expenses compensation

Join datin GmbH and work at the frontier where Science meets AI. This is your chance to leave a mark on how R&D is conducted globally moving science away from static PDFs and into a dynamic interconnected future. If you are ready to design the logic that powers the next generation of discovery apply now!