PhD in AI & Data Science for Cancer Research with Large Language Models
Reference number: 2025-0121
- Heidelberg
- Full-time
- Digital Prevention, Diagnostics and Therapy Guidance
“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look 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 German Cancer Research Center (DKFZ) is a leading international biomedical research institution. We are committed to harnessing the power of AI and data science to transform oncology. Join us in pushing the boundaries of cancer research and innovation.
The Department of Digital prevention, diagnostics and therapy guidance at the German Cancer Research Center is seeking for as soon as possible a
A 20-member team from the fields of medicine, molecular biology and informatics/data science is at the forefront of machine learning for cancer research with impact on patient care. We look forward to you joining our team!
Your Tasks
We are seeking a passionate and talented data scientist to join our interdisciplinary team at the forefront of cancer research and artificial intelligence. This fully funded PhD position focuses on the development and application of Large Language Models (LLMs) for clinical research, with a specific emphasis on addressing complex challenges in oncology.
In this position, you will have the opportunity to:
- Develop advanced Large Language Models (LLMs): Tailor and fine-tune LLMs to address clinical questions in oncology, enabling innovative solutions in diagnosis, treatment planning, and patient care.
- Investigate emergent properties: Conduct cutting-edge research into the emergent behaviors of LLMs, understanding their capabilities and limitations in clinical applications.
- Collaborate on transformative projects: Contribute to projects like UroBot, a groundbreaking tool that demonstrates the potential of LLMs to surpass human performance in specialized medical domains.
- Drive clinical innovation: Work closely with clinicians and domain experts to translate AI innovations into tangible advancements in oncology.
Key Responsibilities:
- Conduct research on LLM architectures and adaptation techniques for clinical data.
- Develop novel methodologies to improve the interpretability, reliability, and accuracy of LLMs in clinical settings.
- Collaborate with a multidisciplinary team of data scientists, oncologists, and software engineers.
- Publish findings in leading academic journals and present at international conferences.
Your Profile
- Master’s degree in computer science, data science, bioinformatics, or a related field
- Strong programming skills in Python and familiarity with machine learning frameworks, ideally also LLMs specifically
- Interest or experience in clinical and biomedical applications is highly desirable
- Excellent problem-solving and communication skills
- Good knowledge of Englisch; knowledge of German is not required
How to Apply
Submit your application, including a CV, cover letter, and academic transcripts, via our online portal. Applications will be reviewed on a rolling basis, so early submission is encouraged.
We Offer
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
Access to international research networks
Doctoral salary with the usual social benefits
30 days of vacation per year
Flexible working hours
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 training and mentoring through the DKFZ International PhD Program and DKFZ Career Service
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!
Dr. Titus Brinker
Phone: 0151/75084347
Applications by e-mail cannot be accepted.
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.
