Research Engineer / Applied Statistics Engineer with a physics background and strong Python/C++ skills.
I build statistical methods, probabilistic models, and research software for technically hard problems. In particle-physics research at LMU Munich, I developed a new statistical method used in multiple publications, built open-source Python software for automated statistical analysis workflows, and contributed to widely used research-computing libraries.
My work sits between mathematical modelling and robust software: turning ambiguous inference problems into reusable tools, reproducible analyses, and clear technical explanations.
I have presented technical work at international research-software and scientific-computing venues, including CERN and PyHEP, and have advised technical stakeholders in German parliamentary and international-agency contexts.
Looking for full-time Research Engineer / Applied Statistics Engineer roles, especially where rigorous inference and evaluation matter. Particularly interested in AI evals/safety, applied statistics, scientific computing, and technical strategy.
Remote: Yes
Willing to relocate: Yes, internationally for the right role
Technologies: Python, C++, statistical inference, probabilistic modelling, agentic development, ML evaluation, scientific computing, open-source research software, reproducible analysis pipelines, Git, CI/CD, pytest, Docker, HPC workflows
Résumé/CV: https://drive.google.com/file/d/1e0p0BcPuZF4o0_4h6mf5P-qGPEZ...
Email: lorenz.gaertner@gmail.com
Research Engineer / Applied Statistics Engineer with a physics background and strong Python/C++ skills.
I build statistical methods, probabilistic models, and research software for technically hard problems. In particle-physics research at LMU Munich, I developed a new statistical method used in multiple publications, built open-source Python software for automated statistical analysis workflows, and contributed to widely used research-computing libraries.
My work sits between mathematical modelling and robust software: turning ambiguous inference problems into reusable tools, reproducible analyses, and clear technical explanations.
I have presented technical work at international research-software and scientific-computing venues, including CERN and PyHEP, and have advised technical stakeholders in German parliamentary and international-agency contexts.
Looking for full-time Research Engineer / Applied Statistics Engineer roles, especially where rigorous inference and evaluation matter. Particularly interested in AI evals/safety, applied statistics, scientific computing, and technical strategy.