Research Scientist and Data Engineer on Graph Modeling and Machine Learning
vor 2 Monaten
We are seeking a highly motivated Research Scientist and Data Engineer to join our team at the German Cancer Research Center (DKFZ). As a key member of our multidisciplinary team, you will be responsible for designing, developing, and maintaining graph database solutions using Python and graph database technologies.
Your Key Responsibilities- Design and develop graph database solutions using Python and graph database technologies
- Implement data import/export processes and ETL pipelines for graph data
- Collaborate with our team to apply graph-based models to biomedical datasets
- Design and develop graph machine/deep learning algorithms to solve challenging problems in biomedicine
- Stay current with the latest developments in graph machine learning and develop/integrate new techniques into biomedically-relevant research projects
- Master's or PhD degree in computer science, data science, computational biology, electrical engineering, physics, mathematics, statistics, or related field with a focus on machine learning and graph theory
- Strong foundation in machine learning, deep learning, and graph theory
- Experience with graph neural networks and related libraries, tools, and frameworks
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar tools for machine/deep learning development
- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
- 30 days of vacation per year
- Flexible working hours
- Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
- Possibility of mobile work and part-time work
- Family-friendly working environment
- Sustainable travel to work: subsidized Germany job ticket
- Unleash your full potential: targeted offers for your personal development to further develop your talents
- Our Corporate Health Management Program offers a holistic approach to your well-being
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