Researcher and Software Developer on Graph Modeling and Machine Learning
vor 2 Wochen
We are seeking a highly motivated Researcher and Software Developer to join our team at the German Cancer Research Center (DKFZ) in Heidelberg, Germany.
About the PositionThe successful applicant will work on cutting-edge projects in graph modeling and machine learning, collaborating with our multidisciplinary team of wet-lab scientists, physicians, and computational scientists. The position offers a unique opportunity to make a significant impact on data-driven biomedicine.
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 and write efficient and performant code to query and manipulate graph data.
- Collaborate with our team to apply graph-based models to biomedical datasets and implement and optimize 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 and develop/integrate new techniques into biomedically-relevant research projects.
- Conduct testing and provide thorough documentation.
The ideal candidate will have a master's or PhD degree in computer science, data science, computational biology, electrical engineering, physics, mathematics, statistics, or a related field with a focus on machine learning and graph theory. Strong foundation in machine learning, deep learning, and graph theory is required. Experience with graph neural networks and related libraries, tools, and frameworks is also necessary. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar tools for machine/deep learning development is required.
What We OfferWe offer an excellent framework with state-of-the-art equipment and opportunities for international networking at the highest level. Our benefits include 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, and sustainable travel to work with subsidized Germany job ticket.
We are committed to providing a holistic approach to your well-being through our Corporate Health Management Program. Our team is dedicated to helping you unleash your full potential and further develop your talents.
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