Researcher and Software Developer on Graph Modeling and Machine Learning
vor 2 Monaten
We are seeking a highly motivated and skilled researcher and software developer to join our team at the Deutsches Krebsforschungszentrum (DKFZ). The successful candidate will work on cutting-edge projects in graph modeling and machine learning, applying their expertise to biomedical datasets and contributing to the development of new cancer prevention strategies.
Key Responsibilities- Design, develop, and maintain graph database solutions using Python and graph database technologies.
- Implement data import/export processes and ETL pipelines for graph data, writing efficient and performant code to query and manipulate graph data.
- Collaborate with our multidisciplinary team to apply graph-based models to biomedical datasets, implementing and optimizing algorithms for efficient computation on large-scale graphs.
- Design and develop graph machine/deep learning algorithms to solve challenging problems in biomedicine.
- Stay current with the latest developments in graph machine learning, developing/integrating new techniques into biomedically-relevant research projects.
- Conduct testing and provide thorough documentation.
- A 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.
- Strong problem-solving skills, excellent written and communication skills, with the ability to work independently but also within our multidisciplinary research environment.
- Ability to collaborate with life scientists, clinicians, and researchers from diverse disciplines to address research questions at the intersection of graph machine learning and biomedicine.
- 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 promote your talents.
- Our Corporate Health Management Program offers a holistic approach to your well-being.
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