Postdoctoral Researcher (d/f/m)

Universitätsklinikum Heidelberg Heidelberg

Stellenbeschreibung:

wanted of the next possible date at Department of Neuropathology at the University Hospital Heidelberg.

We are a DFG-funded research group within the Department of Neuropathology at the University Hospital Heidelberg. Our work focuses on understanding brain tumor biology and developing innovative diagnostic tools to improve patient care. These efforts are enabled by our department’s world-leading collection of brain tumour samples which are complemented by DNA methylation, DNA and RNA sequencing as well as clinical data.

Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process.

You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular underpinnings of tumour growth patterns and the cellular interactions enabling malignancy. The integration with available methylation, histopathological and clinical data will help establish links to current diagnostic procedures and facilitate the rapid translation of your findings. You will be co-supervised by Abigail Suwala and Moritz Gerstung, offering a unique opportunity to further develop your skills at the intersection of AI and translational neuropathology.

The contract is initially limited to 2 years with the possibility of an extension. You will benefit from excellent core facilities as well as a dynamic and creative interdisciplinary research atmosphere.

Your tasks

Analyse spatial transcriptomic and image datasets
Develop predictive models for diagnostic purposes
Design research ideas and prepare scientific publications
Participation in national and international conferences and collaboration in research networks

Your profile

PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline
Experience in multi-omics data analysis and handling big data
Experience with single-cell and spatial transcriptomic analyses is a plus
High motivation and curiosity for cancer biology
Excellent written and spoken English communication skills
Ability to work independently and within a collaborative team