Description

  • Establish data warehousing within the R&D department to maximize data efficiency and automate data collection & generation
  • Roll out and manage an electronic lab notebook system to structurize and collect experimental data for data evaluation and comparison
  • Develop customized apps for facilitating processing of raw data of lab instruments and devices
  • Generate data visualization and comparison dashboards that allow to compare lab data
  • Design and implement concepts for employing modern AI and ML tools to increase speed and output of the whole R&D team

  • You successfully completed studying Computer Science, Software Engineering, Data Science, or a related field, preferably with a M.Sc. degree
  • You have at least 2 years job experience on data generation and processing in a chemical, biological, or physical context
  • You work independently and find joy in interdisciplinary collaboration
  • You know how to help yourself when facing technical challenges
  • Demonstrated troubleshooting skills and a passion for experimental process optimisation
  • You bring a hands-on mindset, structure your work efficiently, and collaborate seamlessly across disciplines – even under the dynamics of a fast-paced start-up environment

  • Pioneers in Next-Gen-Plastics – help redesign plastics for a truly circular economy.
  • Mission & Values – curiosity, transparency and responsibility guide us daily.
  • Startup Mentality – flat hierarchies, agile work and regular workshops.
  • Fast Growth – steep learning curves, regular growth talks and plenty of room to scale your role with the company.
  • Well-being Perks – Hansefit membership and fresh fruit boost your overall health and well-being.
  • Team Spirit – interdisciplinary crew that challenges norms, enjoys regular team events and drives real innovation.
  • Leipzig Hub – thrive in an emerging tech hotspot.
  • Code of Conduct– integrity, fairness and inclusivity are non-negotiable.