Postdoctoral researcher for multimodal omics integration and analysis (m/w/d)

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Mitarbeiteranzahl: mehr als 10.000 (CompanyEmployee)

Branche: Gesundheitswesen (CompanyIndustry)

Stellenbeschreibung

Anstellungsart

Vollzeit

Arbeitsort

München

Leistungen

Aus der vollständigen Stellenbeschreibung

Reisekostenerstattung

Jobticket

Vollständige Stellenbeschreibung

Campus Großhadern

Working hours

Full time

Institution

Institut für Schlaganfall- und Demenzforschung

Department

AG Spitzer

Date of entry

01.04.2026

Application deadline

Swift

Reference Number

2026-K-0037

The Hospital of the University of Munich, Germany, is one of the largest and most competitive university hospitals in Germany and Europe. 48 specialized hospitals, departments and institutions harbouring excellent research and education provide patient care at the highest medical level with around 11.000 employees.

Scope of duties

We are looking for a highly motivated postdoctoral researcher in multimodal omics data integration and analysis to join our growing team in the Spitzer lab at the Institute for Stroke and Dementia Research (ISD). This position offers the opportunity to shape the computational backbone of a large collaborative research center (CRC 1744) and work at the forefront of single-cell, spatial, and multimodal omics in neurovascular disease.

In the Spitzer lab, we integrate single-cell omics, spatial omics, histology, and neuroimaging data to better understand the brain in health and disease, with the long-term goal of enabling personalized diagnosis and treatments. We develop and apply state-of-the-art computational, statistical, and machine learning methods to analyse high-dimensional multimodal data. Within our newly DFG-funded CRC on neurovascular diseases, we lead the central omics and data integration hub, establishing state-of-the-art spatial omics analysis workflows, shared research data infrastructure, and novel computational methods for multimodal data integration. As part of this effort, you will work on data that many CRC projects rely on, giving your work broad scientific impact and strong opportunities for collaborations.

You will play an active role in collaborative and methodological projects across the CRC, integrating and analysing data from diverse omics layers (e.g. transcriptomics, proteomics, lipidomics, spatial imaging). Working closely with bioinformaticians, wet-lab scientists, and clinical researchers, you will:

Perform advanced single-cell and spatial omics analyses

Develop methods for (spatial) multi-omics data integration

Adapt and optimize analysis workflows for diverse biological and disease contexts

Contribute to the development of shared tools, pipelines, and reproducible workflows

Support and advise collaborating projects across the CRC

You will also have the opportunity to drive your own methodological research, for example:

Representation learning for unpaired multimodal data

Spatial modeling and cell–cell interaction analysis

Integration of omics with imaging data

For example, we recently developed a pipeline using optimal transport and demixing tools to extract cell-type specific lipid profiles from single-cell spatial transcriptomics and spot-based spatial lipidomics data – a framework we aim to extend and generalize.

Our requirements

PhD degree in computational biology, bioinformatics, computer science, mathematics, or similar a related quantitative field

Strong interest in neuroscience and applying data analysis and machine learning to study disease mechanisms or improving diagnostic procedures

Experience with (spatial) omics analysis (e.g. scRNAseq, proteomics, Visium, MERFISH); experience with histological data analysis is a plus