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Postdoctoral researcher

  • Leiden University Medical Center (LUMC)

  • Leiden

  • 36 hours (1 fte)

  • Closes on 16 October 2026

For iCNS, we are developing a neuropsychiatric atlas that combines clinical, genetic and neuropathological data with multimodal molecular measurements (bulk and single-cell RNA sequencing, long- and short-read sequencing, proteomics and more). This unique and diverse dataset offers extensive opportunities for research. The clinical data will be derived from medical records made accessible through Large Language Models (LLMs); not every assay is available for every sample; measurements are collected at different levels (bulk/clinical data at donor level versus single-cell data at cell level); and a wealth of additional public datasets is available (such as psychENCODE, single-cell brain atlases and large-scale perturbation screens) that can be integrated.

The central theme of this position is multimodal and multiscale modelling of genomic data in neuropsychiatric disorders, with the aim of identifying molecular signatures and candidate targets. We also explicitly want to provide you with the opportunity to help shape the direction of the project based on your own interests and expertise. Building on previous work by our research group in multimodal and single-cell/spatial data integration (such as SpaGE, SIRV, scAGG and CPP), possible research directions include:

  • Multimodal integration: learning joint representations across heterogeneous and partially overlapping data types.
  • Multiscale integration: linking bulk/clinical data with single-cell measurements to establish connections between information at patient, sample and cell level.
  • Linking patient and perturbation data: integrating observational single-cell atlases with in vitro perturbation data to identify and prioritise candidate targets.

 

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