The Universitätsmedizin Essen is offering the position of
Research Associate (Postdoc) (m/f/d) for „MS-based single-cell and spatial multi-omics“
(pay group 13 TV-L – temporary)
As a maximum-care university hospital with a capacity of around 1,300 beds, we care for 225,000 patients annually with more than 6,000 employees in 26 clinics, 23 institutes and specialist centers. Our hospital offers medical care, state-of-the-art diagnostics and comprehensive therapy of the highest international standard. In addition, we offer a comprehensive range of services in research and teaching at an internationally competitive level.
In the research group Immunodynamics in the Institute of Experimental Immunology and Imaging the following position is available starting June 1st.2023
Research Associate (Postdoc) (m/f/d) for „MS-based single-cell and spatial multi-omics“
(pay group 13 TV-L – temporary)
to be filled on a full-time basis. The classification is based on the personal and collective bargaining requirements. The employment is initially limited for a period of 36 months within the framework of the DFG-funded TR332 “Neutrophils: Origin, fate and function”. An extension is possible according to the maximum employment period of the Wissenschaftszeitvertragsgesetz (WissZeitVG) with the aim of a tenured employment.
The Research Group Immunodynamics investigates the immunological mechanisms in diseases such as infections and cancer using multi-omics approaches. Through (imaging) mass spectrometry, laser microdissection, bioinformatics, and microscopy, we aim to understand leukocyte biology on a single-cell and spatial level in tissues. Interdisciplinary co-registration algorithms combining microscopy, matrix-associated laser desorption/ionization mass spectrometric imaging (MALDI-MSI), and liquid chromatographic mass spectrometry (LC-MS/MS) are developed to decipher the immunological tissue environment and develop novel therapeutic approaches.
Further information about the research group and current research projects can be found at www.immunodynamics.de.
Your tasks:
- Measurement and analysis of liquid chromatographic mass spectrometry (LC-MS/MS) and imaging matrix-associated laser desorption/ionization mass spectrometry (MALDI-MSI) datasets
- Establishment of multiplex IF microscopy staining and automated analysis of microscopic datasets using segmentation algorithms and AI
- Isolation of malignant tissue / cells by an automated laser microdissection workflow for mass spectrometric analysis
- Establishment of bioinformatic algorithms for co-registration of multi-omics approaches, consisting of imaging mass spectrometry and microscopic data sets
- Integrative analysis of MS datasets through multivariate analyses, dimensionality reduction, Pathway, Enrichment and signaling analysis
- Establishment of new machine learning algorithms to identify patterns in mass spectrometry and microscopy datasets
- Support of the “Single-cell and spatial multi-omics” research group with supervision of undergraduate students and PhD students
Your profile:
- Doctorate in natural sciences in Chemistry, Physics, Molecular Biology, Biomedicine, Biology or comparable study programs
- Excellent knowledge on mass spectrometry
- You work independently on your own responsibility and reliably
- You are flexible, committed and a team player
- You have very good computer and English skills
Desirable knowledge and skills that will be developed as part of the job:
- Expertise in mass spectrometry, bioinformatics, microscopy and systems biology.
- Analysis of microscopic and mass spectrometric datasets.
- Integrative analyses via systems biology and pathway analyses
- Machine learning algorithms
- Softwares / Languages / Applications: Python, Cytoscape, ScilsLab, DAVID, String, GSEA.
Cooperation in the case of secondary employment is governed by the university secondary employment ordinance of the State of North Rhine-Westphalia. Severely handicapped applicants and persons of equal standing in the sense of § 2 para. 3 SGB IX will be given preferential consideration in the case of equal suitability.
Please send your detailed application documents to:
Prof. Dr. Daniel R. Engel
Institut für Experimentelle Immunologie und Bildgebung Abteilung für Immundynamik
Medizinisches Forschungszentrum Universitätsklinikum Essen
Hufelandstr. 55
45147 Essen
E-Mail: danielrobert.engel@uk-essen.de
We use your data exclusively for application purposes in accordance with the applicable data protection regulations. You can find further information in the data protection declaration at: www.uk-essen.de.
