Bioinformatician

Your Responsibilities

As Bioinformatician you will act as a bridge between research questions and reliable computational solutions within our Scientific Computing team. You help researchers by building reproducible workflows, advising on best practices, and contributing to a shared ecosystem of tools and standards (HPC, containers, workflow engines, code review, and data management).

• Partner with researchers to translate biological questions into well-scoped computational analyses and deliver actionable results
• Develop, maintain, and continuously improve bioinformatics workflows across domains such as genomics, transcriptomics, single-cell, metagenomics, and proteomics obtained from a broad variety of model organisms
• Productionize analyses using workflow systems (e.g., Snakemake / Nextflow), with strong practices around version control, testing, documentation, reproducibility, and traceability
• Scale workflows on HPC/cluster environments (Linux, Slurm) and optimize runtime, memory consumption, and storage efficiency
• Strengthen reproducibility through containers (Docker/Singularity/Apptainer), environment management (e.g., conda/mamba), and clear provenance/metadata practices
• Build robust, well-documented software tools—primarily in Python and R
• Translate complex experimental datasets into clear, interpretable visualizations and reports for diverse audiences
• Work closely with experimental scientists to support data analysis, interpretation, and decision-making throughout the project lifecycle.
• Identify methodological, technical, or workflow shortcomings in analyses and pipelines; propose and implement improvements in strategy, automation, tooling, and reporting
• Support and train users and contribute to a culture of shared best practices

Your Profile

• University degree in Bioinformatics, Computational Biology, or a related field (MSc or PhD)
• Hands-on experience analyzing biological datasets (NGS or other high-throughput data) and familiarity with common bioinformatic tools
• Ability to build customized data-processing workflows from raw data to final visualization/reporting
• Strong skills in Python and/or R and comfort writing maintainable code
• Solid working knowledge of Linux and HPC experience (e.g. Slurm)
• Excellent communication skills and a collaborative mindset: you enjoy partnering with others and sharing knowledge