Postdoc in Computational Spatial Proteomics and Multiomics Integration Full-time

Postdoc In Computational Spatial Proteomics And Multiomics Integration

The Department of Biomedicine, Faculty of Health, Aarhus University invites applications for a postdoctoral position in Computational Spatial Proteomics and Multi-Omics Integration, starting 1 September 2026 (or as soon as possible before or thereafter). The position is a fixed-term, full-time appointment for 24 months, with the possibility of extension.

The Department of Biomedicine prioritizes diversity and a supportive work environment as a foundation for groundbreaking research. In its international research community, scientists generate new knowledge in areas such as cancer, inflammation, neuroscience, and personalized medicine. The department provides high-quality research-based teaching and contributes substantially to the medical degree programme. With around 500 employees from across the world, researchers benefit from modern laboratory, core, and animal facilities. The department also emphasizes innovation, entrepreneurship, and collaboration with industry to translate scientific discoveries into new medical treatments.

Join our newly established spatial proteomics group, supported by a prestigious LEO Foundation Dr. Abilgaard Fellowship. You will work within a vibrant international team with direct access to state-of-the-art lab platforms (including MACSima multiplexed imaging, LMD7 laser microdissection, Orbitrap Ascend mass spectrometry and timsTOF fleX MALDI-2) and collaborations with world-leading proteomics and dermatology experts. This is your chance to drive high-impact discoveries, co-author top-tier papers, mentor emerging talent, and shape the spatial omics' landscape at one of Denmark's premier biomedical hubs with exceptional work-life balance.

The project addresses skin cancers and chronic inflammatory/fibrotic skin diseases using the cutting-edge spatial proteomics platform. You will integrate 3D and multiplexed imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets. The project includes collaboration with leading international experts in proteomics and dermatology and provides access to modern research facilities. The principal investigator is Assistant Professor Xiang Zheng.

As a postdoctoral researcher, your role will be primarily research-based. You will contribute to the development of the department through research of high international quality. Your main tasks will consist of:

• Conducting independent research of high international quality, including publication in leading journals
• Performing advanced spatial data analysis, including modelling of cell–cell interactions, cell-state transitions, and tissue dynamics and multi-omics integration
• Applying ML approaches for biomarker discovery, predictive modelling, and development of diagnostic classifiers
• Collaborating closely with bioinformatics cores and international project partners
• Mentoring PhD students and contributing to grant applications

You will report to the Assistant Professor Xiang Zheng.

You have academic qualifications at PhD level, for example within computational biology, bioinformatics, spatial omics, or related areas. Experience with computational imaging methods, omics data analysis, and spatial tools is highly valued. Programming expertise in Python and/or R is essential. As a person you demonstrate high ambitions. You are equally innovative – and result driven. You demonstrate excellent verbal and written communication skills, strong interpersonal skills with a demonstrated ability to work collaboratively on multidisciplinary teams and collaborations.

Shortlisting will be used.

If you have any questions about the position, please contact Dr. Xiang Zheng, xiang.zheng@biomed.au.dk or +45 5522 6881. Your place of work will be the Department of Biomedicine, Høegh-Guldbergs Gade 10, DK-8000 Aarhus C, Denmark. We expect to conduct interviews in June 2026.