We are seeking a motivated Bioinformatics Software Developer (m/f/d) to join our Computational Genomics unit. We are an interdisciplinary team of scientists, PhD students, and software engineers who develop bioinformatics tools, predictive models, and data analysis pipelines to identify biomarkers and therapeutic targets for personalized immunotherapies against cancer. In close collaboration with multiple teams at TRON, as well as with partners from academia, clinics, and industry, we apply and validate our computational approaches and translate them into clinical practice.

The successful candidate will develop and maintain bioinformatics software and fully reproducible, end-to-end workflows to analyze diverse biological datasets, including genomics and transcriptomics sequencing data from large cohorts of tumor samples.

Bioinformatics Software Developer (m/f/d)

Fulltime - Mainz

Design, implement, and maintain computational analysis tools and pipelines for high-throughput sequencing data, including WGS, WES, RNA-seq, scRNA-seq, spatial transcriptomics and long-read sequencing.
Improve in-house bioinformatics pipelines to enhance accuracy, reproducibility, and development lifecycle automation.
Benchmark and systematically test in-house and public methods with experimental confirmation data
Build database and predictive AI systems for the discovery of novel therapy targets and biomarkers
Provide guidance and support to PhD students and scientists on best practices in reproducible data science and high performance compute workflows
Collaborate closely with multidisciplinary teams of developers, technicians, scientists, and PhD students across multiple projects

MSc in Bioinformatics, Computer Science, or a related field
At least two years of professional experience in bioinformatics software development
Advanced programming skills in Python and Nextflow; experience with R and Snakemake or other workflow languages is a plus
Proficiency in structured software development practices, including version control, testing, containerization, and CI/CD systems
Hands-on experience with Linux-based compute clusters, job schedulers, and cloud computing
Familiarity with next-generation sequencing (NGS) data and related bioinformatics tools is advantageous
Knowledge of databases and machine learning libraries is a plus

Enthusiasm and curiosity for the diverse activities of our research institute complete your profile.

A dynamic, innovative, and creative research environment
An open, collegial, and supportive working atmosphere in a respectful organizational culture
A highly diverse and inclusive workforce
Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies
Performance-based remuneration and other benefits
Opportunities for personalized professional development
Convenient access via public transport and car as well as bicycle parking spaces
The possibility of hybrid working arrangements

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TRON -Translationale Onkologie an der Universitätsmedizin der JGU Mainz gemeinnützige GmbH

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