Senior Bioinformatics Analyst

The primary focus of this position is the project-specific analyses of diverse high-throughput multi-omics datasets, encompassing a broad range of data types such as whole-genome and transcriptome sequencing, single-cell, and spatial data. As a Senior Bioinformatics Analyst, you will play a key role in designing, executing, and documenting analytical workflows while applying scientific rigor and best practices throughout your work.

While you will take the lead on your assigned analyses, you will work in close collaboration with the group lead and other experts within the NEXUS team. The role combines independent analytical work with active participation in joint project planning, interpretation, and dissemination of results.

Your responsibilities will also include the development and maintenance of reproducible analysis pipelines and software tools, contributing to the team’s shared infrastructure. Moreover, you will help ensure that data are managed in accordance with the FAIR principles and support our partners in adopting best practices for Research Data Management (RDM).

Our projects span biomedical research and clinical diagnostics, covering a wide range of applications—from basic NGS data processing to clinical reporting and public health surveillance. NEXUS collaborates closely with academic institutions and hospitals, offering a dynamic environment where scientific excellence and collaboration drive impactful outcomes.

We are looking for a motivated and diligent colleague who enjoys working in a collaborative environment and has a strong interest in clinical science and translational research.

• MSc (or higher) in bioinformatics, computational biology, or a related field
• At least 3 years of hands-on experience in biomedical, genomics, or integrative research projects involving molecular datasets
• Proven ability to extract biological insights and visualize complex multi-omics data
• Demonstrated experience in the analysis of genomics and/or transcriptomics sequencing data
• Solid programming skills in Python or R
• Familiarity with HPC environments and Bash scripting
• Experience with version control systems (e.g., Git)
• Excellent communication skills in English

Advantageous are:

• Experience with AI or machine learning methods
• Background in statistics or software development
• Familiarity with workflow management systems (e.g., Snakemake, Nextflow)
• Knowledge of German