Research Engineer / Postdoc in Biomedical AI for Public Health Communication (f/m/x)

As a Research Engineer, you will take the lead in translating research ideas into robust, scalable, and user-ready systems. You will collaborate closely with a PhD researcher and the diabinfo.de editorial team to ensure that scientific and societal objectives are met in practice. Your core tasks include:

• Designing and implementing software pipelines for data acquisition, processing, and benchmarking of AI-generated content in health communication.
• Building APIs and dashboards to measure 'invisible use' of health information in AI-generated search results.
• Developing and deploying web-based tools and CMS plugins to integrate large language models (LLMs) into editorial workflows.
• Implementing and maintaining a chatbot system for trustworthy, context-aware health guidance on diabinfo.de.
• Ensuring robustness, low latency, and maintainability of deployed systems through modern DevOps practices.
• Collaborating with editorial, clinical, and AI research partners to translate user needs into technical solutions.

• Master’s or PhD degree in Computer Science, Data Science, Software Engineering, Bioinformatics, Computational Linguistics, or a related field.
• Strong proficiency in Python (preferably FastAPI, Pandas, PyTorch or similar frameworks); experience in web or API development; familiarity with LLMs and NLP pipelines is highly desirable.
• Commitment to open-source principles and good software practice (git-based workflow, testing, documentation).
• Ability to work independently and as part of an interdisciplinary team with scientists, engineers, and editors.
• Excellent written and spoken English and fluent or near-native German (required for daily interaction with the editorial team and for communication with the general public).
• Interest in translational AI, responsible innovation, and improving the societal impact of artificial intelligence.