Postdoctoral Researcher (f/m/d) -Computational Microbiome Science / Metagenomics-
Uniklinik RWTH Aachen
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- Uniklinik RWTH Aachen
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- Aachen
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- Arztpraxen
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- Aktualisiert
- 16. Juni 2026
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Stellenbeschreibung
Link: (CompanyWebsite)
Mitarbeiteranzahl: 5.001 bis 10.000 (CompanyEmployee)
Branche: Gesundheitswesen (CompanyIndustry)
Stellenbeschreibung
Anstellungsart
Vollzeit
Arbeitsort
Pauwelsstraße 30, 52074 Aachen
Vollständige Stellenbeschreibung
The Institute of Medical Microbiology -Selkrig Lab of Host-Microbe Interactomics- is offering following position
Postdoctoral Researcher (f/m/d) -Computational Microbiome Science / Metagenomics-
Operational area: Institute of Medical Microbiology -Selkrig Lab of Host-Microbe Interactomic-
Working hours: 100% of the full working hours in the collective agreement (currently 38.5 hours/week)
Duration/Term of employment: the position is limited till 30.06.2028 in accordance with the WissZeitVG (German Academic Fixed-Term Contract Act) with option of prolongation.
Start date: 01.07.2026
Remuneration/Rates: EG 13 (TV-L)
Why choose us?
We offer…
30 days of vacation
A bonus of 3,000 euros for employees who help recruit employees in the care sector
An attractive company pension scheme from VBL
Education opportunities, including updating and upgrading
Access to public transport
In-house kindergarten (places subject to availability)
Staff residences (places subject to availability and by arrangement)
An onboarding app for new employees
Extended opening hours in the staff restaurant
Tasks:
The postdoctoral researcher will lead the computational analysis and integration of metagenomic datasets from human cohorts and animal models to uncover microbiome-driven mechanisms underlying chronic pain within an international, multi-site research consortium.
PhD in Bioinformatics/Computational biology, Microbiology or Microbial Ecology (with strong emphasis on computational analysis of microbiome and sequencing data), Systems Biology, Biostatistics
Lead the analysis of shotgun metagenomic datasets from human cohorts and animal models to identify microbiome signatures associated with chronic pain
Develop, implement, and maintain reproducible bioinformatics pipelines for processing, integration, and interpretation of multi-source microbiome data
Integrate microbiome data with clinical, phenotypic, and experimental datasets to enable translational insights within the project
Coordinate and collaborate across international project partners (UK, Switzerland, Romania), contributing to joint analyses, publications, and data harmonization efforts
Profile:
Advanced metagenomics and microbiome data analysis, including processing and interpretation of shotgun sequencing datasets
Strong programming and computational skills, particularly in languages such as Python and/or R, and experience with bioinformatics workflows
Experience with high-throughput sequencing data and reproducible analysis pipelines, including workflow management and data handling
Solid understanding of microbial ecology and host–microbiome interactions, ideally in the context of translational or biomedical research
Desirable:
Experience in multi-omics data integration, particularly in combination with clinical or phenotypic datasets
Familiarity with clinical cohort data analysis, including data structuring and statistical evaluation
Knowledge of reproducible research practices and data management standards, such as version control, workflow management, and FAIR principles
Experience working in international and interdisciplinary research environments, ideally within collaborative consortia
Proactive and self-driven working style, with the ability to independently identify problems and develop solutions
Strong organizational and time-management skills, with the capacity to handle complex, multi-source datasets and deadlines
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