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Highly motivated and skilled Bioinformatician (m/f/d)

Charité- Universitätsmedizin Berlin -
Berlin

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Details zur Stelle

Teilzeit | Vollzeit
vor 4 Stunden

Qualifikationen

Biologie
Bioinformatik
Doktorat
R
Datenanalyse
Master
Machine Learning
Datenpflege
Cloud-Computing
Python

Vollständige Stellenbeschreibung

Job Title: Bioinformatician
Department: Rheumatology
Location: Charité- Universitätsmedizin Berlin, Campus Mitte
Employment Type: Full-time/Part-time

About the Role

We are seeking a highly motivated and skilled Bioinformatician to join our Rheumatology Department. This role offers an exciting opportunity to work at the interface of computational biology and translational medicine, contributing to cutting-edge research into rheumatic diseases.

The nature of the role (PhD student, postdoc, staff scientist) is open for discussion.

The successful candidate will support the analysis of ongoing experimental data while also driving innovation in the integration and interpretation of complex, multi-dimensional datasets derived from patient samples.

Prof. Dr. med. Gerhard Krönke MHBA

Key Responsibilities

Perform computational analysis of high-throughput sequencing datasets, including:
- Single-cell RNA and ATAC sequencing
- Spatial multiomics/transcriptomics (Xenium and similar)
- Bulk RNA and ATAC-seq
- CUT&RUN
- NULISA
Develop, implement, and optimize bioinformatics pipelines for data processing and analysis
Integrate multi-omics datasets with clinical and patient-derived data
Contribute to the development of novel computational approaches for combining large-scale datasets
Collaborate closely with wet-lab scientists, clinicians, and other computational researchers
Interpret and present findings to multidisciplinary teams
Ensure reproducibility, documentation, and proper data management practices

Required Qualifications & Skills

PhD or MSc in Bioinformatics, Computational Biology, Genomics, or a related field
Strong programming skills in R and Python
Proven experience analyzing next-generation sequencing (NGS) data
Hands-on experience with at least some of the following:
- Single-cell transcriptomics
- Epigenomics (ATAC-seq, CUT&RUN, ChIP-seq)
- Spatial transcriptomics or multiomics
Experience working with large-scale datasets and high-performance computing environments
Familiarity with statistical methods for high-dimensional data analysis
Knowledge of data integration techniques across multiple modalities
Strong problem-solving skills and the ability to work independently

Desirable Skills

Experience working with clinical or patient-derived datasets
Knowledge of rheumatology or immunology
Experience in machine learning or AI approaches for biological data
Familiarity with workflow management systems (e.g., Snakemake, Nextflow)
Experience with cloud computing platforms

What We Offer

Opportunity to work on impactful, translational research
Access to cutting-edge technologies and datasets
Collaborative and interdisciplinary research environment
Career development and training opportunities

How to Apply

Please submit your CV and a brief cover letter outlining your experience and motivation to: [email protected].

Application Deadline: Open end

We are committed to fostering an inclusive and diverse research environment and encourage applications from all qualified candidates.

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