PhD Position in Causal Multi-Omics Modeling of Disease Biology

The International PhD Programme (IPP) Mainz invites applications for a fully funded doctoral position in the Computational Systems Medicine research group led by Vincent ten Cate. The successful candidate will develop principled statistical and machine learning approaches to integrate multi-omics data, leveraging genetic variation and structural protein features for causal inference in cardiovascular disease. This interdisciplinary project combines statistical genetics, systems biology, and machine learning within a vibrant international research community. The appointee will be expected to conduct independent research, develop computational tools, and publish findings in peer-reviewed journals. Working language is English.

• Develop and evaluate advanced statistical and machine learning models for multi-omics data integration
• Perform causal inference on molecular layers using genetic variants as anchors
• Incorporate protein structure information and interaction networks into predictive disease models
• Analyze large-scale molecular datasets including local cohorts and the UK Biobank
• Collaborate within an interdisciplinary team of molecular epidemiologists and bioinformaticians
• Prepare and publish research findings in peer-reviewed scientific journals
• Present scientific results at internal meetings and international conferences