Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Genedata, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.
You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
The biopharmaceutical industry is undergoing a transformation, requiring advanced digitalization to adopt data- and AI-driven approaches and develop innovative therapies quicker. Genedata’s market-leading enterprise software fuels this transformation by enabling leading biopharma, biotech, and contract research as well as contract development and manufacturing organizations worldwide to automate processes and leverage data analytics and AI, so they can deliver breakthrough therapies to patients faster. Join us and help scientists around the world accelerate the pace of biopharma R&D
Learn about the Danaher Business System which makes everything possible.
As ML/AI Engineer, you design and implement innovative software capabilities for our Genedata Vico platform, focusing on digitalizing CMC. The platform is co-developed with several of the top 25 biopharma companies worldwide and you will therefore work where software engineering meets applied AI, on genuinely hard data: heterogeneous, high-volume, and scientifically challenging. You will contribute to growing our platform that transforms data into reliable assets for training ML models, under GxP-grade engineering conditions. This is a problem space that rewards both algorithmic depth and engineering excellence.
This position is part of the Genedata Profiler Business Unit in Munich, Germany, and is a hybrid role with three days per week in office presence.
In this role, you will have the opportunity to:
- Design and implement process critical ML and AI functionalities such as data pipelines, model evaluation processes, agent orchestration and harness engineering, and closed learning loops that allow to feed wet lab results back into model training processes
- Work directly with our scientists and product managers on translating complex CMC workflows into reliable, maintainable software solutions
- Contribute to scientist-facing tools that surface AI outputs and enable critical decision making
- Own the ML model lifecycle end-to-end: versioning, evaluation, monitoring, and iterative model improvement as new manufacturing data arrives
The essential requirements of the job include:
- MSc or PhD in Computer Science, Computational Biology, Bioinformatics, or a related quantitative field
- Proven experience writing performance-critical software solutions in Java, C++, Python, or a comparable language, in a research or production setting
- You have designed and implemented systems that handle complex, high-volume data, with a strong focus on algorithmic efficiency, correctness, and long-term maintainability
- You think carefully about system design and engineering trade-offs, and produce well-tested, well-reviewed code within a project team
- You work well in a collaborative environment and can translate scientific challenges into clear requirements and ultimately into new software capabilities
It would be a plus if you also possess previous experience in:
- Deep learning frameworks (PyTorch/TensorFlow, JAX) and applying ML to scientific or structured data
- Large language models: RAG, tool use, agentic frameworks, AI harness engineering, or orchestration libraries (LangGraph, PydanticAI)
- Databases: relational e.g. PostgreSQL, in a data-intensive or ML context
- Life sciences, computational biology, or biopharma; prior domain knowledge is a plus
- Familiarity with web application development, including React or similar frontend frameworks
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.