• Build new data structures and data analysis methods to solve some of the new challenges in breeding and biological molecular research.
• Develop and apply innovative ideas using modern technologies such as Large Language Models on biological data.
• Apply machine learning tools for text mining to identify candidate genes for trait development.
• Contribute to our internal biological recommender systems by integrating different data sources, such as multi-omics data.
• Pro-actively identify and test new approaches and analysis strategies to make the best use out of our data.
• Collaborate and communicate effectively internally with departments across functions and externally with academic and industrial partners.
• Work in a matrix environment both to support and to lead initiatives. You shape scientific and strategic priorities to accelerate portfolio advancement.

• Experience in computing and programming with proven expertise in relevant programming languages (e.g., Python, R, Rust, C/C++ or similar).
• Working experience as Data Scientist (or similar role) and ideally first experience in using AI in this area

• High level of initiative, independent working style with focus on the product and ability to communicate complex topics.
• Fluent in English (in both written and spoken), good knowledge in German would be a plus.

• Ph D in computational biology, bioinformatics, data science, or MSc. in similar disciplines with first relevant professional experience.Expertise in deep learning, developing new models in either Keras, Tensorflow, Py Torch or similar.
• Expertise in structural computational biology, protein design, docking of molecules
• Basic knowledge in molecular research / plant breeding / in-silico target discovery
• Expertise in No-SQL databases, Graph based databases, vector databases etc.
• Experience working with high-performance computer cluster environments and job scheduler such as Slurm, LSF, or PBS would be highly appreciated.

• Exciting job solving some of the big challenges within data science in plant breeding for securing a stable food production in the future.
• As a family-run company we are guided by the values of closeness, reliability, foresight, and independence - this culture is lived in practice creating thus an open and friendly working atmosphere.
• True to our motto "Make yourself grow", we support employees’ professional and personal development.
• Flexible working hours with the possibility of mobile working.
• We offer excellent work equipment, a fully-fledged, subsidized canteen.
• We offer a company pension scheme, capital formation benefits, Christmas and holiday bonuses, special prices for company shares, childcare allowance, and a job bike and job ticket.