Research Software Engineer (Python)

Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. We are a research, development, and production site in Bremen currently, with about 500 employees, whose “high-end” measurement and analysis instruments (mass spectrometers) are used in research and science worldwide. The Scientific Software & Research Platform Engineer combines scientific investigation, data science, software engineering, and deep instrument knowledge to improve instrument performance, calibration, diagnostics, and reliability. This on-site role requires regular hands-on work with spectrometers, including prototypes, and close collaboration with Research, Production/Operations, and Support.
Design, execute, and validate experiments using instrument, multi-sensor, and multi-modal data.
Turn exploratory analyses and prototypes into reusable, well-tested research tools and reproducible experiment frameworks.
Manage data versioning, metadata, experiment tracking, and scalable execution from laptops to servers/clusters.
Build safe programmatic interfaces to instrument control software, firmware, and test stands, including autonomous agentic workflows.
Collaborate with researchers, Production Engineering, IT/Operations, and Support to ensure reliable and traceable deployment.
Background in physics, applied mathematics, or a related quantitative/scientific field, with a strong track record of independent research and quantitative modeling

Hands-on scientific investigation, experimental design, and analysis of complex real-world instrument or experimental data.
Experience developing research software and translating scientific insights into diagnostic, predictive, or decision-support tools.
Comfortable working directly with physical instruments and deploying and validating software in controlled lab or production test environments.
Scientific Software Engineering: Python, clean APIs, modular design, testing, and reproducible research workflows.
Data & Modeling: Data analysis and visualization, SQL/NoSQL and file-based data systems, diagnostic modeling, experiment tracking, and model/version management.
Engineering Tools: Strong Linux/Bash; Familiarity with C++/Rust is a plus.
Ability to install, configure, troubleshoot, and validate research software and translate manual processes into Documented and increasingly automated workflows.
English: Outstanding career and development prospects
Company pension scheme and other fringe benefits
Exciting company culture which stands for integrity, intensity, involvement, and innovation
Join us in shaping the future of our industry and make a significant impact through your expertise and leadership by applying online with your CV and Motivation Letter including possible start date and salary expectations.
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