Research Engineer:
Intelligent Structuring Systems (full-time)
Munich, Vienna, or remote (EU-friendly timezone)
At Zenta, we believe that health data should be clear, connected, and usable — not trapped in formats no one understands. So we are building the infrastructure to make that happen. Quietly, carefully, and with purpose.
We are looking for someone who shares that mindset — ideally an engineer who enjoys turning complexity into clarity. Someone who knows their way around language models, understands the value of structured data, and wants to work on problems that actually matter.
This role sits at the intersection of clinical data, imaging metadata, and modern AI. You will be helping us build the systems that make health data searchable, interoperable, and usable — the foundational work behind precision care.
What we are looking for
- Masters/PhD in Computer Science, Health Informatics, Physics, Biomedical Engineering, or similar.
- You write code like you are building something that should last
- You have worked with LLMs and data pipelines — and know their strengths and limits
- You think in systems, not just scripts
- You care about doing good work, not just fast work
- You are thoughtful, and unafraid to ask the hard questions
- You have the interpersonal and communication skills needed to work in a small dynamic team where progress requires an ability to "play well with others".
What you are asked to do
- To design schema-aware systems that structure medical metadata at scale
- To build pipelines that turn messy headers and text into structured, queryable formats
- To develop LLM-powered tools that understand clinical context
- To collaborate across product, design, and clinical insight to shape what we build
We are still early — and proud of it. We move with care, build with purpose, and leave space to breathe.
There is no corporate theatre here.
Just real problems, kind people, and work we believe in.If this sounds like your kind of place, we love to hear from you.
