Student Assistant in Research Data Management (RDM) (up to 39 hours/month)
Student Assistant in Research Data Management (RDM) (up to 39 hours/month)
Student Assistant in Research Data Management (RDM) (up to 39 hours/month)
Student Assistant in Research Data Management (RDM) (up to 39 hours/month)
Deutsches Krebsforschungszentrum
Forschung
Heidelberg
- Art der Beschäftigung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
Student Assistant in Research Data Management (RDM) (up to 39 hours/month)
Über diesen Job
Student Assistant in Research Data Management (RDM) (up to 39 hours/month)
Reference number: 2025-0310
- Heidelberg
- Marginal Employment
- Radiooncology / Radiobiology
The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. "Research for a life without cancer" is the mission of our world-class scientists and all our team members.
We investigate how cancer develops, identify cancer risk factors and search for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration or infrastructure. This is what makes our daily work so meaningful and exciting.
The Division "Radiooncology / Radiobiology" is seeking as of February 2026 a
Your Tasks
We are looking for a highly motivated student to join our research team, where you will help manage multimodal research data by harmonizing biomedical data from clinical and preclinical radiotherapy experiments and develop ontologies and knowledge graphs for AI-driven health research.
This role involves scripting in R or Python to automate data conversion processes, structuring information from diverse formats, and creating machine-actionable datasets and mappings for large language model (LLM) training.
You will work closely with researchers and domain experts to connect datasets with ontology-driven structures, refine mapping files, and support knowledge graph creation. The position offers opportunities to engage with innovative semantic technologies and contribute to research in data interoperability and advanced AI applications. You will gain hands-on experience with real-world biomedical data challenges and contribute to cutting-edge science.
Equivalent training will be provided to be up to date with our methodology. These include mentoring in research methodologies as well as training and exposure to semantic web and AI technologies.
Become part of a multidisciplinary team in a dynamic environment and work towards our vision of a life without cancer!
Your Profile
- Valid certificate of enrollment as a bachelor's or master's student
- Good knowledge of the programming languages R and Python; effective use of LLMs
- High affinity for logical thinking and problem-solving skills
- Structured, organized, and accurate working method
- Understanding of clinical and preclinical data terminology is an advantage
- Team player with good English skills
We Offer
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
Access to international research networks
Flexible working hours
Possibility of mobile work
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
Are you interested?
Then become part of the DKFZ and join us in contributing to a life without cancer!
Duration: The position is initially limited to 1 year with the possibility of prolongation.
Application Deadline: 22.01.2026
Applications by e-mail cannot be accepted.
Please also note that we cannot return applications submitted by post.
We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude.
Notice: We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles.
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