Reference number: 2025-0226
“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 Division of Digital Prevention, Diagnostics and Therapy Guidance is seeking for the next possible date a
The main goal of the division is the development of robust and interpretable digital biomarkers to improve prevention, non-invasive early detection, diagnostic, and therapeutic approaches. We are an interdisciplinary team of 30 people, mostly data scientists, doctors and molecular biologists.
YOUR TASKS
Help shape the future of personalized skin cancer diagnostics by developing AI-driven methods for image classification. We seek real-world impact, meaning the project is in collaboration with a large German company (HEINE Optotechnik), to help patients benefit from the developed solutions as fast as possible via a market-ready medical device.
Your tasks will include:
- Development of AI-driven models for skin cancer diagnostics and early detection, with a focus on robustness, explainability, and clinical applicability
- Designing and validating a digital dashboard for real-time risk stratification and clinical decision-making, ensuring accessibility for both clinicians and patients
- Collaborating with interdisciplinary experts, including dermatologists, AI researchers, statisticians, and computational biologists, to optimize data-driven diagnostic strategies
- Validating the developed models and infrastructure through pilot studies with data from 100 study participants, ensuring real-world applicability
- Publishing in top-tier scientific journals and contributing to clinical studies to validate the effectiveness of AI-assisted diagnostics
YOUR PROFILE
We are looking for a highly motivated candidate who is passionate about AI in data research and eager to translate machine learning innovations into real-world clinical applications.
Required qualifications:
- Master’s degree (or equivalent) in data science, computer science, bioinformatics, biomedical engineering, or a related field
- Strong background in machine learning, deep learning, and data integration
- Experience in computer vision and medical image analysis is a plus
- Proficiency in Python and AI frameworks (TensorFlow/PyTorch)
- Interest or experience in bioinformatics, and large-scale data processing
- Excellent problem-solving and communication skills
- Fluent in English (German is not required but beneficial)
YOU CAN LOOK FORWARD TO:
- Impactful Research: Work on a pioneering AI-driven prevention and diagnostics project that has the potential to revolutionize skin cancer care.
- Professional Development: Opportunities to attend international conferences, workshops, and specialized AI training programs.
- Interdisciplinary Collaboration: Work alongside leading experts in dermatology, AI, and bioinformatics at one of Europe’s top cancer research institutions.
HOW TO APPLY:
Please submit your CV, cover letter, and academic transcripts via our online portal. We look forward to your application.
WE OFFER
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 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
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.