PhD in AI & Data Science for Cancer Research with Large Language Models
Kennziffer: 2025-0121
- Heidelberg
- Full-time
- Digital Prevention, Diagnostics and Therapy Guidance
„Forschen für ein Leben ohne Krebs“ – das ist unsere Aufgabe am Deutschen Krebsforschungszentrum. Wir erforschen, wie Krebs entsteht, erfassen Krebsrisikofaktoren und suchen nach neuen Strategien, die verhindern, dass Menschen an Krebs erkranken. Wir entwickeln neue Methoden, mit denen Tumore präziser diagnostiziert und Krebspatient:innen erfolgreicher behandelt werden können. Jeder Beitrag zählt – ob in der Forschung, in der Administration oder der Infrastruktur. Das macht unsere tägliche Arbeit so bedeutungsvoll und spannend.
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!
Ihre Aufgaben:
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.
Ihr Profil:
- 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.
Unser Angebot:
- Hervorragende Rahmenbedingungen: modernste state-of-the-art Infrastruktur und Möglichkeit zum internationalen Austausch auf Spitzenniveau
- Zugang zu internationalen Forschungs-Netzwerken
- Doktorandengehalt mit den üblichen Sozialleistungen
- 30 Tage Urlaub
- Flexible Arbeitszeiten
- Möglichkeit zur mobilen Arbeit und Teilzeitarbeit
- Familienfreundliches Arbeitsumfeld
- Nachhaltig zur Arbeit: Vergünstigtes Deutschland-Jobticket
- Entfalten Sie Ihr volles Potenzial: gezieltes Training und Mentoring durch das DKFZ International PhD Program und den DKFZ Career Service
- Unser betriebliches Gesundheitsmanagement bietet ein ganzheitliches Angebot für Ihr Wohlbefinden
Sie sind interessiert?
Dr. Titus Brinker
Telefon: 0151/75084347
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