Machine Learning Engineer | Machine Learning Engineer (alle Geschlechter), Monheim (hybrid)
Bayer AG Pharmaceuticals
Job Summary
Bayer is seeking a highly motivated Machine Learning Engineer for a 12-month fixed-term position within Crop Science Research. This role sits at the intersection of advanced computational methods and scientific innovation, supporting data-driven initiatives in interdisciplinary teams. You will develop and apply modern machine learning approaches to complex internal datasets, contributing to projects aimed at enhancing research efficiency and generating new insights. The position offers a unique opportunity to collaborate closely with experimental scientists, translating real-world scientific challenges into computational solutions. Join a motivated team and actively shape the future of plant research.
Required Skills
Education
University degree in Computer Science, Data Science, Bioinformatics, or a related quantitative field
Experience
- Professional experience in Machine Learning model development
- Experience working with large, complex, and heterogeneous datasets
- Experience translating scientific literature methods into implementable solutions
- Experience collaborating with experimental scientists and stakeholders
- Experience communicating technical results to diverse audiences
Languages
Additional
- The position is fixed-term for 12 months, full-time, and located in Monheim, Germany. Hybrid work model available.
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