PhD position / Postdoc position (all genders) in AI for biomedical data analysis

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Firma: Universitätsklinikum Hamburg Eppendorf

UNTERNEHMENS-ID: 791023

Stellenausschreibungs-URL:

Karrierestufe

Keine Angabe

Beschäftigungsverhältnis

Vollzeit

Tätigkeitsbereich

Forschung, Analyst und IT

Branchen

Krankenhäuser und Gesundheitseinrichtungen

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Main tasks

You will join the Institute of Medical Systems Bioinformatics ( and the bAIome Center for Biomedical AI ( as part of a dynamic, international, and interdisciplinary team working at the forefront of AI-driven biomedical research. Your work will contribute directly to improving our understanding, prediction, and treatment of disease.

Your main tasks include the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from methodological innovation to real-world clinical application. You will work with multimodal biomedical datasets (omics, imaging, spatial data, and patient data) and apply cutting-edge AI technologies such as graph neural networks, transformer architectures, diffusion models, foundation models for biology and medicine, and agentic AI workflows such as autonomous analysis agents. In close collaboration with clinical partners, you will translate your research into practical and clinically relevant applications, contributing to advances in precision and personalized medicine.

The position is initially limited to three years as part of a third-party funded project and to be filled with 80-100 % of the regular weekly working hours.

Your Profile

Masters degree in Computer Science, Bioinformatics, Data Science, or a related field

Solid understanding of modern machine learning and deep learning methods, including experience with frameworks such as PyTorch or TensorFlow/Keras and scikit-learn

Experience with agentic AI systems, automated workflows, or LLM-based development environments (e.g., OpenAI Codex, Claude Code, or similar) is a plus

Proficiency in Python, Linux, and HPC environments

Experience working with multimodal biomedical datasets (omics, imaging, clinical data) is advantageous

Strong communication skills and ability to collaborate with machine learning researchers, biologists, clinicians, and domain experts

Knowledge of biology and medicine is a plus

Proven ability for independent and creative research (e.g., through projects, publications, or open-source contributions)

Highly motivated, team-oriented, and enthusiastic about interdisciplinary research bridging AI, biology, and medicine

Strong English skills in an international and diverse work environment

Immunity status

Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements. Documentation (e.g., vaccination certificate) must be provided before employment begins.

Our Offer

Work on cutting-edge AI methods with direct clinical relevance

Access to large-scale multimodal biomedical datasets and modern GPU infrastructure

Close collaboration with clinicians, biologists, and AI researchers in a highly interdisciplinary environment

Opportunity to publish in leading international scientific journals and conferences

Attractive compensation according to TVöD/VKA

Secure employment with meaningful work and respectful collaboration

Comprehensive onboarding and open knowledge exchange within the team