At Data4Life, we build digital research solutions that advance healthcare and science, backed for the long term by the Hasso Plattner Foundation. You'll tackle complex problems alongside a senior, international team, in a small and expert-dense org where your decisions shape the product from day one. If you want your code to matter and your impact to last, this is the place.

Activities

  • Design, build, and ship high-quality frontend and backend features, writing maintainable, well-tested code.
  • Contribute to software design and architecture decisions, and take part in code reviews across the full stack.
  • Make AI part of how you build — using coding agents and AI tools to move faster, explore ideas, and raise the quality of what we ship.
  • Work closely with designers, QA, and product management as part of an integrated team to deliver well-crafted, user-centered software.
  • Engage directly with customers and users — joining feedback sessions and user research to build a deep, end-to-end understanding of the product and the problems it solves.

Requirements

Must-haves:

  • A university degree in Computer Science, Software Engineering, or a related discipline.
  • Strong frontend skills: deep fluency in HTML, CSS, and TypeScript, with hands-on experience in React or React Native.
  • Solid understanding of data structures and algorithms, with sound judgment about which to use.
  • Experience with relational databases; we use PostgreSQL.
  • A natural, hands-on way of working with AI — you use coding assistants and agentic workflows as part of your everyday development practice.
  • Professional written and spoken English.
  • You enjoy working in a team and building things together.

Nice-to-haves:

  • Experience with Go (Golang)
  • Familiarity with Docker and Kubernetes.

Team

You will be joining our Germany-based Software Engineering team, including a QA Engineer, Frontend & Mobile Engineers and Full-Stack Software Engineers, and a Technical Writer. We work in a highly collaborative, cross-functional environment with short decision-making paths, close knowledge sharing, and a supportive team culture.


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