Postdoctoral Researcher in Bioinformatics / Computational Biology | Data Scientist (m/w/d)
Universitätsklinikum Frankfurt
Job Summary
This Postdoctoral position offers a unique opportunity to conduct cutting-edge interdisciplinary research at the intersection of single-cell omics, spatial transcriptomics, and AI-based modeling within the Department of Nephrology at Universitätsmedizin Frankfurt. The successful candidate will leverage large-scale multi-omics and clinical data to study the role of the hematopoietic system in cardiovascular disease related to kidney injury. Day-to-day responsibilities include the analysis and integration of complex NGS data (scRNA-seq, scATAC-seq, spatial transcriptomics), developing and applying AI/machine learning models (e.g., deep learning) to dissect cellular states, and integrating population-scale biobank datasets (like UK Biobank) to identify causal pathways. This role requires a PhD in a quantitative field, a strong background in bioinformatics/data science, and proven programming skills in R and/or Python, offering access to state-of-the-art omics platforms and high-performance computing infrastructure.
Required Skills
Education
PhD (or equivalent) in Bioinformatics, Computational Biology, Computer Science, Statistics, Systems Biology, Medical Data Science, or a related quantitative field
Experience
- Completed PhD (or equivalent) in a quantitative field (Bioinformatics, Computational Biology, Computer Science, Statistics, Systems Biology, Medical Data Science)
- Proven track record in bioinformatics / data science (e.g., publications, preprints, software, or analysis pipelines)
- Solid experience with analysis of NGS data (scRNA-seq, scATAC-seq, spatial transcriptomics)
- Experience with large-scale data handling (HPC environments, cloud computing, containers, workflow managers)
- Experience with deep learning or probabilistic modeling (advantageous)
Languages
Additional
- Limited contract duration; Proactive and team-oriented approach required; Strong interest in cardiovascular and kidney diseases, translational research, and precision medicine.
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